TW201737384A - System and method for defect classification based on electrical design intent - Google Patents

System and method for defect classification based on electrical design intent Download PDF

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TW201737384A
TW201737384A TW106112295A TW106112295A TW201737384A TW 201737384 A TW201737384 A TW 201737384A TW 106112295 A TW106112295 A TW 106112295A TW 106112295 A TW106112295 A TW 106112295A TW 201737384 A TW201737384 A TW 201737384A
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sets
design
interest
pattern
electrical
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TW106112295A
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TWI725165B (en
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普拉山堤 俄帕魯里
席如普瑞桑德瑞 傑亞瑞曼
辰 梁
史立坎斯 坎都庫里
薩賈爾 凱卡爾
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克萊譚克公司
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    • HELECTRICITY
    • H01ELECTRIC ELEMENTS
    • H01LSEMICONDUCTOR DEVICES NOT COVERED BY CLASS H10
    • H01L22/00Testing or measuring during manufacture or treatment; Reliability measurements, i.e. testing of parts without further processing to modify the parts as such; Structural arrangements therefor
    • H01L22/10Measuring as part of the manufacturing process
    • H01L22/12Measuring as part of the manufacturing process for structural parameters, e.g. thickness, line width, refractive index, temperature, warp, bond strength, defects, optical inspection, electrical measurement of structural dimensions, metallurgic measurement of diffusions
    • HELECTRICITY
    • H01ELECTRIC ELEMENTS
    • H01LSEMICONDUCTOR DEVICES NOT COVERED BY CLASS H10
    • H01L22/00Testing or measuring during manufacture or treatment; Reliability measurements, i.e. testing of parts without further processing to modify the parts as such; Structural arrangements therefor
    • H01L22/20Sequence of activities consisting of a plurality of measurements, corrections, marking or sorting steps
    • H01L22/24Optical enhancement of defects or not directly visible states, e.g. selective electrolytic deposition, bubbles in liquids, light emission, colour change
    • HELECTRICITY
    • H01ELECTRIC ELEMENTS
    • H01LSEMICONDUCTOR DEVICES NOT COVERED BY CLASS H10
    • H01L22/00Testing or measuring during manufacture or treatment; Reliability measurements, i.e. testing of parts without further processing to modify the parts as such; Structural arrangements therefor
    • H01L22/30Structural arrangements specially adapted for testing or measuring during manufacture or treatment, or specially adapted for reliability measurements

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  • Engineering & Computer Science (AREA)
  • Manufacturing & Machinery (AREA)
  • Computer Hardware Design (AREA)
  • Microelectronics & Electronic Packaging (AREA)
  • Power Engineering (AREA)
  • Testing Or Measuring Of Semiconductors Or The Like (AREA)
  • Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)

Abstract

A method for automatically classifying one or more defects based on electrical design properties includes receiving one or more images of a selected region of a sample, receiving one or more sets of design data associated with the selected region of the sample, locating one or more defects in the one or more images of the selected region of the sample by comparing the one or more images of the selected region of the sample to the one or more sets of design data, retrieving one or more patterns of interest from the one or more sets of design data corresponding to the one or more defects, and classifying the one or more defects in the one or more images of the selected region of the sample based on one or more annotated electrical design properties included in the one or more patterns of interest.

Description

用於基於電設計意圖之缺陷分類之系統及方法System and method for defect classification based on electrical design intent

本發明大體上係關於晶圓檢測及檢視,且更特定言之係關於在晶圓檢測及檢視期間基於電設計意圖而分類缺陷。The present invention relates generally to wafer inspection and inspection, and more particularly to classifying defects based on electrical design intent during wafer inspection and inspection.

製造半導體裝置(諸如邏輯及記憶體裝置)通常包含使用大量半導體製程處理一基板(諸如一半導體晶圓)以形成半導體裝置之各種特徵及多個層級。可以一配置製造多個半導體裝置於一單一半導體晶圓上且接著多個半導體裝置經分成個別半導體裝置。 半導體裝置可在製程期間發展出缺陷。在一半導體製程期間在各個步驟處執行檢測製程以偵測一樣本上之缺陷。檢測製程係製造半導體裝置(諸如積體電路)之一重要部分,其當半導體裝置之尺寸減小時對成功製造可接受半導體裝置而言甚至變得更加重要。例如,當半導體裝置之尺寸減小時,高度希望缺陷之偵測,因為甚至相對較小缺陷可致使半導體裝置中之非所要偏差。因而,將希望提供針對經改良晶圓檢測及缺陷分類之一解決方案以解決製造問題並提供經改良晶圓檢測能力。Fabricating semiconductor devices, such as logic and memory devices, typically involves processing a substrate (such as a semiconductor wafer) using a large number of semiconductor processes to form various features and levels of the semiconductor device. The plurality of semiconductor devices can be fabricated in a single semiconductor wafer and then the plurality of semiconductor devices can be separated into individual semiconductor devices. Semiconductor devices can develop defects during the process. The inspection process is performed at various steps during a semiconductor process to detect the same defects. Inspection processes are an important part of the fabrication of semiconductor devices, such as integrated circuits, which become even more important for the successful manufacture of acceptable semiconductor devices as the size of semiconductor devices is reduced. For example, when the size of a semiconductor device is reduced, detection of defects is highly desirable because even relatively small defects can cause undesirable deviations in the semiconductor device. Accordingly, it would be desirable to provide a solution for improved wafer inspection and defect classification to address manufacturing issues and provide improved wafer inspection capabilities.

根據本發明之一或多個實施例,揭示一種用於基於電設計性質而自動地分類一或多個缺陷之系統。在一個說明性實施例中,該系統包含一成像工具。在另一說明性實施例中,該系統包含一使用者介面。在另一說明性實施例中,該使用者介面包含一顯示器及一使用者輸入裝置。在另一說明性實施例中,該系統包含一控制器。在另一說明性實施例中,該控制器包含經組態以執行儲存於記憶體中之一組程式指令的一或多個處理器。在另一說明性實施例中,該等程式指令經組態以致使該一或多個處理器接收一樣品之一所選區域之一或多個影像。在另一說明性實施例中,該等程式指令經組態以致使該一或多個處理器接收與該樣品之該所選區域相關聯之一或多組設計資料。在另一說明性實施例中,一組設計資料包含一或多個層。在另一說明性實施例中,一層包含一或多組形狀。在另一說明性實施例中,該等程式指令經組態以致使該一或多個處理器藉由比較該樣品之該所選區域之該一或多個影像與該一或多組設計資料而定位該樣品之該所選區域之該一或多個影像中的一或多個缺陷。在另一說明性實施例中,該等程式指令經組態以致使該一或多個處理器自對應於該一或多個缺陷之該一或多組設計資料擷取一或多個受關注圖案。在另一說明性實施例中,該一或多個受關注圖案包含一或多個標註電設計性質。在另一說明性實施例中,該受關注圖案由一或多個形狀表示。在另一說明性實施例中,該等程式指令經組態以致使該一或多個處理器基於該一或多個標註電設計性質而分類該樣品之該所選區域之該一或多個影像中的該一或多個缺陷。 根據本發明之一或多個實施例,揭示一種用於用於缺陷分類之使用電設計性質來標註一或多組設計資料的系統。在一個說明性實施例中,該系統包含一使用者介面。在另一說明性實施例中,該使用者介面包含一顯示器及一使用者輸入裝置。在另一說明性實施例中,該系統包含一控制器。在另一說明性實施例中,該控制器包含經組態以執行儲存於記憶體中之一組程式指令的一或多個處理器。在另一說明性實施例中,該等程式指令經組態以致使該一或多個處理器接收一或多組設計資料。在另一說明性實施例中,一組設計資料包含一或多個層。在另一說明性實施例中,一層包含一或多組形狀。在另一說明性實施例中,該等程式指令經組態以致使該一或多個處理器自該使用者輸入裝置接收該一或多組設計資料中之一受關注圖案之一選擇。在另一說明性實施例中,該受關注圖案由一或多個形狀表示。在另一說明性實施例中,該等程式指令經組態以致使該一或多個處理器使用與該所選受關注圖案相關聯之一或多個電設計性質來標註該一或多組設計資料中之該受關注圖案。 根據本發明之一或多個實施例,揭示一種用於基於電設計性質而自動地分類一或多個缺陷之方法。在一個說明性實施例中,該方法可包含(但不限於)接收一樣品之一所選區域之一或多個影像。在另一說明性實施例中,該方法可包含(但不限於)接收與該樣品之該所選區域相關聯之一或多組設計資料。在另一說明性實施例中,該一或多組設計資料對應於該樣品之該所選區域。在另一說明性實施例中,一組設計資料包含一或多個層。在另一說明性實施例中,一層包含一或多組形狀。在另一說明性實施例中,該方法可包含(但不限於)藉由比較該樣品之該所選區域之該一或多個影像與該一或多組設計資料而定位該樣品之該所選區域之該一或多個影像中的一或多個缺陷。在另一說明性實施例中,該方法可包含(但不限於)自對應於該一或多個缺陷之該一或多組設計資料擷取一或多個受關注圖案。在另一說明性實施例中,該受關注圖案由一或多個形狀表示。在另一說明性實施例中,該一或多個受關注圖案包含一或多個標註電設計性質。在另一說明性實施例中,該方法可包含(但不限於)基於該一或多個標註電設計性質而分類該樣品之該所選區域之該一或多個影像中的該一或多個缺陷。 根據本發明之一或多個實施例,揭示一種用於用於缺陷分類之使用電設計性質來標註一或多組設計資料的方法。在一個說明性實施例中,該方法可包含(但不限於)接收一或多組設計資料。在另一說明性實施例中,一組設計資料包含一或多個層。在另一說明性實施例中,一層包含一或多組形狀。在另一說明性實施例中,該方法可包含(但不限於)自該使用者輸入裝置接收該一或多組設計資料中之一受關注圖案之一選擇。在另一說明性實施例中,該受關注圖案由一或多個形狀表示。在另一說明性實施例中,該方法可包含(但不限於)使用與該所選受關注圖案相關聯之一或多個電設計性質來標註該一或多組設計資料中之該受關注圖案。 應理解,前述[發明內容]及以下[實施方式]兩者皆僅為例示性及闡釋性的且並不一定限制本發明。併入本說明書中且構成本說明書之一部分之隨附圖式繪示本發明之標的。描述及圖式一起用來說明本發明之原理。In accordance with one or more embodiments of the present invention, a system for automatically classifying one or more defects based on electrical design properties is disclosed. In an illustrative embodiment, the system includes an imaging tool. In another illustrative embodiment, the system includes a user interface. In another illustrative embodiment, the user interface includes a display and a user input device. In another illustrative embodiment, the system includes a controller. In another illustrative embodiment, the controller includes one or more processors configured to execute a set of program instructions stored in a memory. In another illustrative embodiment, the program instructions are configured to cause the one or more processors to receive one or more images of a selected region of a sample. In another illustrative embodiment, the program instructions are configured to cause the one or more processors to receive one or more sets of design material associated with the selected region of the sample. In another illustrative embodiment, a set of design materials includes one or more layers. In another illustrative embodiment, a layer comprises one or more sets of shapes. In another illustrative embodiment, the program instructions are configured to cause the one or more processors to compare the one or more images of the selected region of the sample with the one or more sets of design data And locating one or more defects in the one or more images of the selected region of the sample. In another illustrative embodiment, the program instructions are configured to cause the one or more processors to draw one or more attentions from the one or more sets of design data corresponding to the one or more defects pattern. In another illustrative embodiment, the one or more patterns of interest comprise one or more labeled electrical design properties. In another illustrative embodiment, the pattern of interest is represented by one or more shapes. In another illustrative embodiment, the program instructions are configured to cause the one or more processors to classify the one or more of the selected regions of the sample based on the one or more annotation electrical design properties The one or more defects in the image. In accordance with one or more embodiments of the present invention, a system for using electrical design properties for defect classification to label one or more sets of design materials is disclosed. In an illustrative embodiment, the system includes a user interface. In another illustrative embodiment, the user interface includes a display and a user input device. In another illustrative embodiment, the system includes a controller. In another illustrative embodiment, the controller includes one or more processors configured to execute a set of program instructions stored in a memory. In another illustrative embodiment, the program instructions are configured to cause the one or more processors to receive one or more sets of design materials. In another illustrative embodiment, a set of design materials includes one or more layers. In another illustrative embodiment, a layer comprises one or more sets of shapes. In another illustrative embodiment, the program instructions are configured to cause the one or more processors to receive one of the one or more sets of design data from the user input device to select one of the patterns of interest. In another illustrative embodiment, the pattern of interest is represented by one or more shapes. In another illustrative embodiment, the program instructions are configured to cause the one or more processors to label the one or more groups using one or more electrical design properties associated with the selected pattern of interest The pattern of interest in the design data. In accordance with one or more embodiments of the present invention, a method for automatically classifying one or more defects based on electrical design properties is disclosed. In an illustrative embodiment, the method can include, but is not limited to, receiving one or more images of a selected region of a sample. In another illustrative embodiment, the method can include, but is not limited to, receiving one or more sets of design materials associated with the selected region of the sample. In another illustrative embodiment, the one or more sets of design data correspond to the selected area of the sample. In another illustrative embodiment, a set of design materials includes one or more layers. In another illustrative embodiment, a layer comprises one or more sets of shapes. In another illustrative embodiment, the method can include, but is not limited to, positioning the sample by comparing the one or more images of the selected region of the sample with the one or more sets of design data. One or more defects in the one or more images of the selected area. In another illustrative embodiment, the method can include, but is not limited to, extracting one or more patterns of interest from the one or more sets of design data corresponding to the one or more defects. In another illustrative embodiment, the pattern of interest is represented by one or more shapes. In another illustrative embodiment, the one or more patterns of interest comprise one or more labeled electrical design properties. In another illustrative embodiment, the method can include, but is not limited to, classifying the one or more of the one or more images of the selected region of the sample based on the one or more labeled electrical design properties Defects. In accordance with one or more embodiments of the present invention, a method for labeling one or more sets of design materials for use in defect classification using electrical design properties is disclosed. In an illustrative embodiment, the method can include, but is not limited to, receiving one or more sets of design materials. In another illustrative embodiment, a set of design materials includes one or more layers. In another illustrative embodiment, a layer comprises one or more sets of shapes. In another illustrative embodiment, the method can include, but is not limited to, receiving, from the user input device, one of the one or more sets of design materials to select one of the patterns of interest. In another illustrative embodiment, the pattern of interest is represented by one or more shapes. In another illustrative embodiment, the method can include, but is not limited to, annotating the one of the one or more sets of design materials using one or more electrical design properties associated with the selected pattern of interest. pattern. It is to be understood that the foregoing [invention] and the following [embodiments] are merely illustrative and illustrative and are not intended to limit the invention. The subject matter of the present invention is incorporated in the specification, and is in the The description and drawings together illustrate the principles of the invention.

本申請案根據35 U.S.C. § 119(e)主張2016年5月26日申請之題為METHOD FOR DEFECT CLASSIFICATION BASED ON ELECTRICAL DESIGN INTENT之名為Prasanti Uppaluri、Thirupurasundari Jayaraman、Ardis Liang及Srikanth Kandukuri作為發明者之美國臨時專利申請案第62/341,765號之優先權,該案之全部內容以引用的方式併入本文中。 現將詳細參考所揭示之標的物,該標的物在隨附圖式中經繪示。 大體上參考圖1A至圖3,根據本發明揭示一種用於晶圓電設計性質標註及缺陷分類之系統及方法。 本發明之實施例係關於一種用於使用電設計信號來標註設計資料的系統及方法,其中該等電設計性質歸因於一或多個缺陷特性且用以判定一缺陷對該等電裝置或互連之重要性(危害程度)。 為本發明之目的,如本文中所使用之術語「設計」及「設計資料」一般意指一積體電路(IC)之實體設計(佈局)及透過複雜模擬或簡單幾何及布林(Boolean)運算自該實體設計導出之資料。例如,該實體設計可經儲存於一資料結構(諸如一圖形資料系統(GDS)檔案、任何其他標準機械可讀檔案、本技術中已知之任何其他合適檔案及一設計資料庫)中。以多種格式提供IC佈局資料或晶片設計資料,包含(但不限於) GDSII及OASIS格式。一GDSII檔案係用於設計佈局資料之表示之一類檔案之一者。此等檔案之其他實例包含(但不限於) GL1及OASIS檔案及專屬檔案格式(諸如,主光罩設計檔案(RDF)資料,其為KLA-Tencor、Milpitas、Calif (「KT」)所專屬)。使用特定晶片之製造、邏輯及電意圖編碼設計資料。設計資料可為電子設計自動化(EDA)工具之一輸出。例如,自EDA工具輸出之設計資料可由分析軟體處理且被轉換成RDF格式。 本文中應注意,由一主光罩檢測系統獲取之一主光罩之一影像及/或其衍生物可用作用於設計之一「代理」或「若干代理」。此一主光罩影像或其之一衍生物可在使用一設計之本文中所描述之任何實施例中用作用於設計佈局的一替代。該設計可包含對Zafar等人之2009年8月4日頒佈之美國專利案第7,570,796號及對Kulkarni等人之2010年3月9日頒佈之美國專利案第7,676,077號中所描述之任何其他設計資料或設計資料代理,該等案兩者之全文以引用的方式併入本文中。另外,該設計資料可為標準單元庫資料、整合佈局資料、用於一或多個層之設計資料、該設計資料之衍生物及全部或部分晶片設計資料。 本文中進一步應注意,來自一晶圓或主光罩之經模擬或所獲得影像可用作用於設計之一代理。影像分析亦可用作用於設計分析之一代理。例如,可自列印於一晶圓及/或主光罩上之一設計之一影像提取設計中之多邊形,假設以充分解析度獲取晶圓及/或主光罩之影像以使設計之多邊形充分成像。 自晶片設計資料之電意圖之提取可基於對一使用者可用之設計資料之類型而為自動的或手動的。一規則驅動EDA工具類(諸如佈局對照電路圖(LVS))可用以自設計資料自動地提取電意圖。例如,LVS工具需要所有設計層,包含文本層,以及連接規則以自動地提取晶片設計之電意圖。在一完整組設計層對使用者不可用的情況下,可提供一使用者驅動解決方案。然而,在一規則驅動或使用者驅動不可用的情況下,設計資料之電意圖不可用以提取。因而,將希望使用設計之電意圖來標註設計資料以在晶圓檢測及檢視製程期間提供資訊至一使用者或一控制器用於使用。 本發明之進一步實施例係關於一種用於接收樣品檢測影像及將在樣品檢測影像中發現之缺陷分類的系統及方法。可藉由比較一缺陷與使用電設計性質來標註之設計資料而分類該缺陷,其中電設計性質包含缺陷特性及該缺陷之重要性。一缺陷之重要性由其位置定義。重要結構上之缺陷影響該裝置之電完整性。基於缺陷特性及對該半導體晶圓之重要等級而分類缺陷促進在製造之後的缺陷之適當分類,包含一電圖案之大部分或全部自該半導體晶圓丟失的情況。 為本發明之目的,一缺陷可經分類為一空隙、短路、顆粒、殘餘、殘膜或本技術中已知之任何其他缺陷。缺陷可經分類為干擾(具有低重要性之缺陷)或材料故障(具有高重要性之缺陷)。一缺陷之重要性由其位置及在該位置處之電意圖定義。例如,在經設置用於更佳可製造性之冗餘電結構中之缺陷(其等不影響該裝置之電完整性)比在一單一電結構(例如材料故障)中之缺陷具較低重要性(例如干擾)。例如,在一浮動網中或其上之一缺陷可比一電力線或接地線中或其上之一缺陷較不重要。 在其中一缺陷係存在的一些情況下,一晶圓可丟失一電結構(例如,一通路或一接觸)之全部或一大部分。在此情況下,一使用者可能不具有關於該電結構之足夠資訊以僅通過視覺檢測正確地判定該缺陷之影響,因為該缺陷可經定位於無任何形狀之一空區域中。因此,該使用者可錯分類該缺陷。例如,一形狀之一丟失形狀或部分可由於在檢測下該層中之形狀資料之缺乏而經錯誤地分類為一干擾而非一材料錯誤,或反之亦然。此錯誤分類可導致製造商收入損失,呈干擾晶片之不必要重新列印之形式或具材料故障之據信僅受干擾缺陷影響的晶片之替換及補償。因而,將希望在檢測及檢視製程期間在設計資料內提供用於比較之電意圖以為判定一缺陷之重要性為檢測者提供具一額外資源。 為本發明之目的,術語電意圖、電設計意圖、電性質、電設計性質及電圖案表示同義術語。 圖1繪示根據本發明之一或多個實施例之用於樣品檢測之一系統100。在一個實施例中,系統100包含一成像工具102。在另一實施例中,系統100包含經安置於一樣品台106上之一樣品104。在另一實施例中,系統100包含一控制器110。在另一實施例中,系統100包含一使用者介面120。 在另一實施例中,成像工具102經組態以偵測樣品104上之缺陷。例如,成像工具102可包含本技術中已知之任何適當特徵化工具,諸如(但不限於)一檢測工具或檢視工具。例如,成像工具102可包含(但不限於)一電子束檢測或檢視工具(例如,SEM系統)。藉由另一實例,成像工具102可包含(但不限於)一光學檢測工具。例如,該光學檢測工具可包含一寬頻帶電漿(BBP)檢測工具,包含(但不限於)一基於雷射維持電漿(LSP)檢測工具。在另一例項中,該光學檢測工具可包含一窄頻帶檢測工具,諸如(但不限於)一雷射掃描檢測工具。另外,在光學檢測的情況下,成像工具102可包含(但不限於)一亮場成像工具或一暗場成像工具。本文中應注意,成像工具102可包含經組態以偵測自一樣品104之一表面反射、散射、衍射及/或輻射之照明的任何光學系統。成像工具之實例大體上描述於2006年8月8日頒佈之美國專利案第7,092,082號;2003年9月16日頒佈之美國專利案第6,621,570號;及1998年9月9日頒佈之美國專利案第5,805,278號中,該等案之全文各以引用方式併入本文中。成像工具之實例亦大體上描述於2014年4月4日頒佈之美國專利案第8,664,594號、2014年4月8日頒佈之美國專利案第8,692,204號、2014年4月15日頒佈之美國專利案第8,698,093號、2014年5月6日頒佈之美國專利案第8,716,662號、2015年4月29日申請之美國專利申請案第14/699,781號、2015年3月24日申請之美國專利申請案第14/667,235號及2014年8月13日申請之美國專利申請案第14/459,155號中,該等案之全文各以引用方式併入本文中。 在另一實施例中,儘管未展示,然成像工具102可包含一照明源、一偵測器及用於執行檢測之各種光學組件(例如,透鏡、分光器及類似者)。例如,成像工具102之照明源可包含本技術中已知之任何照明源。例如,該照明源可包含(但不限於)一寬頻帶光源或一窄頻帶光源。另外,該照明源可經組態以引導光至經安置於樣品台106上之樣品104之表面(經由各種光學組件)。進一步言之,成像工具102之該等各種光學組件可經組態以將自樣品104之該表面反射及/或散射之光引導至成像工具102之該偵測器。藉由另一實例,成像工具102之該偵測器可包含本技術中已知之任何合適偵測器。例如。該偵測器可包含(但不限於)一光電倍增管(PMT)、電荷耦合裝置(CCD)、延時積分(TDI)攝影機及類似者。另外,該偵測器之該輸出可經通信地耦合至本文中進一步詳細描述之一控制器110。 在一個實施例中,樣品104包含一晶圓。例如,樣品104可包含(但不限於)一半導體晶圓。如整份本發明所使用,術語「晶圓」一般意指由半導體材料或非半導體材料形成之基板。例如,一半導體或半導體材料可包含(但不限於)單晶矽、砷化鎵及磷化銦。 在另一實施例中,樣品104係基於一或多組設計資料而製造。在另一實施例中,一組設計資料包含一或多組層。例如,此等層可包含(但不限於)一抗蝕劑、一介電材料、一導電材料及一半導電材料。本技術中已知許多不同類型之此等層,且如本文中所使用之術語晶圓意欲涵蓋其上可形成有全部類型之此等層之一晶圓。藉由另一實例,經形成於該晶圓上之該一或多個層可在該晶圓內重複一或多次。此等材料層之形成及處理最終可導致完成裝置。許多不同類型的裝置可形成於一晶圓上,且如本文中使用之術語晶圓意欲涵蓋其上製造本技術中已知之任何類型的裝置之一晶圓。 在另一實施例中,一層包含一或多組形狀。例如,該一或多組形狀可在該層內重複一或多次。藉由另一實例,一組形狀可為規則形狀或不規則形狀。在另一實施例中,一形狀係一多邊形。多邊形在檢測一裝置之設計資料時的實施方案大體上描述於2014年12月30日頒佈之美國專利案第8,923,600號及2014年2月12日美國專利申請案第14/178,866號中,該等案之全文各以引用方式併入本文中。 在另一實施例中,該一或多組設計資料包含一或多個受關注圖案。例如,該一或多個受關注圖案可在該一或多組設計資料內重複一或多次。在另一實施例中,一受關注圖案可由一或多組形狀表示。在另一實施例中,該受關注圖案可為經界定於該一或多組設計資料內之一單元。本文中應注意,一受關注圖案可對應於該一或多組設計資料之一特定電意圖。如貫穿本發明所使用者,該一或多組設計資料之電意圖包含(但不限於)一電力線、一接地線、一時序線、一字線、一位元線、一資料線、一邏輯線及類似者。 圖1B繪示根據本發明之用於樣品104之一組設計資料之一或多個層。在一個實施例中,該組設計資料包含一層130。在另一實施例中,層130包含一或多個多邊形。例如,層130可具有重複多邊形。例如,層130可具有一組重複多邊形132。另外,層130可具有一組重複多邊形134。藉由另一實例,層130可具有單一多邊形。例如,層130可具有一單一多邊形136。另外,層130可具有一單一多邊形138。藉由另一實例,層130可具有一或多個額外多邊形139。在另一實施例中,一使用者可使用一或多個電性質來標註該一或多個多邊形。在一個實例中,可針對一SRAM位元單元而使用電設計性質來標註該一或多個多邊形。例如,該使用者可將重複多邊形132組標註為一電壓源。另外,該使用者可將重複多邊形134組標註為一接地。進一步言之,該使用者可將多邊形136標註為一字線。進一步言之,該使用者可將多邊形138標註為一位元線。 本文中應注意,可使用相同或不同電設計性質來標註一或多個多邊形132、134、136、138、139。本文中進一步應注意,可使用一或多個電設計性質來標註層130上之額外或替代多邊形。例如。一或多個多邊形132、134、136、138、139無需使用一或多個電性質標註。藉由另一實例,一使用者可使用一或多個電設計性質來標註圖1B中所繪示之該等多邊形之任何者。因此,上文描述不應解釋為對本發明之一限制而是僅為一圖解說明。 在另一實施例中,針對樣品104之該組設計資料包含在一或多個額外層上之一或多個額外多邊形組。例如,針對樣品104之該組設計資料可包含在一層上之一組多邊形140。藉由另一實例,針對樣品104之該組設計資料可包含在一層上之一組多邊形150。藉由另一實例,針對樣品104之該組設計資料可包含在一層上之一組多邊形160。藉由另一實例,針對樣品104之該組設計資料可包含在一層上之一組多邊形170。 在另一實施例中,多邊形140、150、160、170組可在單獨層上。然而,本文中應注意,多邊形140、150、160、170組之一或多者可在相同層上。另外,本文中應注意,多邊形140、150、160、170組之一或多者可在層130上,層130包含多邊形132、134、136、138、139。因此,上文描述不應解釋為對本發明之一限制而是僅為一圖解說明。 再次參考圖1A,在另一實施例中,樣品台106可包含本技術中已知之任何適當機械及/或機器總成。例如,樣品台106可經組態以致動樣品104至一所選位置或定向。例如,樣品台106可包含或可經機械地耦合至一或多個致動器(諸如一馬達或伺服系統),該致動器經組態以根據一所選檢測或計量演算法而平移或旋轉用於定位、聚焦及/或掃描(其等之若干者在本技術中已知)之樣品104。 在一個實施例中,控制器110包含一或多個處理器112及一記憶體媒體114。在另一實施例中,一或多組程式指令116經儲存於記憶體媒體114中。在另一實施例中,一或多個處理器112經組態以執行該等組程式指令116以執行貫穿本發明所描述之各個步驟之一或多者。 在另一實施例中,使用者介面120經通信地耦合至控制器110之一或多個處理器112。在另一實施例中,使用者介面120包含一顯示裝置122。在另一實施例中,使用者介面120包含一使用者輸入124。 在另一實施例中,控制器110經組態以藉由可包含有線及/或無線部分之一傳輸媒體而接收及/或獲取來自其他系統或子系統之資料或資訊(例如,來自成像工具102或來自成像工具102之該等組件之任何者之一或多組資訊或經由使用者介面120接收之一或多個使用者輸入)。在另一實施例中,系統100之控制器110經組態以藉由可包含有線及/或無線部分之一傳輸媒體而將資料或資訊(例如,本文中所揭示之一或多個製程之該輸出)傳輸至一或多個系統或子系統(例如,一或多個命令至成像工具102或至成像工具102之該等組件之任何者或顯示於使用者介面120上之一或多個輸出)。在此方面,該傳輸媒體可用作控制器110與系統100之其他子系統之間的一資料鏈路。在另一實施例中,控制器110經組態以經由一傳輸媒體(例如,網路連接)而發送資料至外部系統。 在一個實例中,可使成像工具102之一偵測器依任何合適方式(例如,藉由藉由圖1中所展示之虛線所指示之一或多個傳輸媒體)耦合至控制器110,使得控制器110可接收由該偵測器產生之該輸出。藉由另一實例,若成像工具102包含一個以上偵測器,則控制器110可如上文所描述而經耦合至該多個偵測器。本文中應注意,控制器110可經組態以使用由成像工具102收集並傳輸之偵測資料、利用本技術中已知之任何方法及/或演算法來偵測樣品104上之一或多個缺陷以偵測該晶圓上之缺陷。例如,成像工具102可經組態以接受來自包含(但不限於)控制器110之系統100之另一子系統之指令。一旦接受來自控制器110之該等指令,成像工具102可在該等所提供指令中所識別之樣品104之該等位置處執行一檢測製程(即檢測方案),將該檢測製程之該等結果傳輸至控制器110。 在一個實施例中,該組程式指令116經程式化以致使該一或多個處理器使用電設計性質來標註一或多組設計資料。例如,該組程式指令116可經程式化以致使該一或多個處理器接收一或多組設計資料。藉由另一實例,該組程式指令116可經程式化以致使該一或多個處理器接收該一或多組設計資料中之一受關注圖案之一選擇。藉由另一實例,該組程式指令116可經程式化以致使該一或多個處理器使用一或多個電設計性質來標註該所選受關注圖案。藉由另一實例,該組程式指令116可經程式化以致使該一或多個處理器使用該一或多個電設計性質來標註該所選受關注圖案之一或多個重複。 本文中應注意,控制器110可使用儲存於記憶體114中之電設計性質或使用使用者輸入電設計性質來標註具一或多組設計資料之該等受關注圖案。本文中進一步應注意,控制器110可自動標註受關注圖案,或替代地標註以下經由使用者介面120之來自一使用者之回饋之該等受關注圖案。 在另一實施例中,該組程式指令116替代地或另外經程式化以致使該一或多個處理器分析來自成像工具102之樣品檢測結果且分類該等結果內之一或多個缺陷。例如,該組程式指令116可經程式化以致使該一或多個處理器接收一樣品之一所選區域之一或多個影像。藉由另一實例,程式指令116組可經程式化以致使該一或多個處理器接收與該樣品之該所選區域相關聯之一或多組設計資料。藉由另一實例,該組程式指令116可經程式化以致使該一或多個處理器定位該樣品之該所選區域之該一或多個影像中的一或多個缺陷。藉由另一實例,該組程式指令116可經程式化以致使該一或多個處理器自該一或多組設計資料擷取使用電設計性質標註之一或多個對應受關注圖案。藉由另一實例,該組程式指令116可經程式化以致使該一或多個處理器基於該一或多個經標註電設計性質而分類該樣品之該所選區域之該一或多個影像中的該一或多個缺陷。 本文中應注意,控制器110可基於該一或多組設計資料之該等電設計性質而自動地分類該等缺陷。另外,控制器110可基於以下經由使用者介面120之來自一使用者之回饋之該一或多組設計資料之該等電設計性質而分類該等缺陷。 在一個實施例中,控制器110之一或多個處理器112包含本技術中已知之任何一或多個處理元件。就此意義而言,一或多個處理器112可包含經組態以執行演算法及/或指令之任何微處理器裝置。例如,一或多個處理器112可由一桌上型電腦、主機電腦系統、工作站、影像電腦、平行處理器、運載工具車載電腦、手持電腦(例如,平板電腦、智慧型電話或平板手機)或經組態以執行經組態以操作系統100之一程式之其他電腦系統(例如,網路電腦)組成,如貫穿本發明所描述。應意識到,可由一單一電腦系統或替代地多電腦系統實行貫穿本發明描述之該等步驟。一般而言,術語「處理器」可經廣義定義以涵蓋具有一或多個處理元件之任何裝置,其執行來自一非暫時性記憶體媒體(例如記憶體114)之程式指令116。此外,系統100之不同子系統(例如,成像工具102或使用者介面120)可包含適於執行整份本發明所描述之步驟之至少一部分之處理器或邏輯元件。因此,上文描述不應解釋為對本發明之一限制而是僅為一圖解說明。 在一個實施例中,控制器110之記憶體媒體114包含本技術中已知之適於儲存可由相關聯一或多個處理器112執行之程式指令116的任何儲存媒體。例如,記憶體媒體114可包含一非暫時性記憶體媒體。例如,記憶體媒體114可包含(但不限於)一唯讀記憶體、一隨機存取記憶體、一磁性或光學記憶體裝置(例如磁碟)、一磁帶、一固態磁碟及類似者。在另一實施例中,本文中應注意,記憶體114經組態以提供顯示資訊至一顯示裝置122及/或本文中所描述之各個步驟之該輸出。進一步應注意,記憶體114可經容置於具一或多個處理器112之一常見控制器外殼中。在一替代實施例中,可相對於處理器112及控制器110之實體位置遠端地定位記憶體114。例如,控制器110之一或多個處理器112可存取可通過一網路(例如,網際網路、內部網路及類似者)存取之一遠端記憶體(例如伺服器)。在另一實施例中,記憶體媒體114儲存程式指令116用於致使一或多個處理器112執行貫穿本發明所描述之各個步驟。 在一個實施例中,顯示裝置122包含本技術中已知之任何顯示裝置。例如,該顯示裝置可包含(但不限於)一液晶顯示器(LCD)。藉由另一實例,該顯示裝置可包含(但不限於)一基於有機發光二極體(OLED)之顯示器。藉由另一實例,該顯示裝置可包含(但不限於)一CRT顯示器。熟習此項技術者應意識到,多種顯示裝置可適於實施於本發明中及顯示裝置之特定選擇可取決於多種因素,其包含(但不限於)外觀尺寸、成本及類似者。在一般意義上,能與使用者輸入裝置(例如,觸控螢幕、面板安裝介面、鍵盤、滑鼠、軌跡墊及類似者)整合之任意顯示裝置適於實施於本發明中。 在一個實施例中,使用者輸入裝置124包含本技術中已知之任何使用者輸入裝置。例如,使用者輸入裝置124可包含(但不限於)鍵盤、小鍵盤、觸控螢幕、槓桿、旋鈕、滾輪、軌跡球、開關、刻度盤、滑桿、捲桿、滑件、把手、觸控墊、踏板、方向盤、操縱桿、面板輸入裝置或類似者。在一觸控螢幕介面之情況中,熟習此項技術者應意識到,大量觸控螢幕介面可適於實施於本發明中。例如,顯示裝置122可與一觸控螢幕介面(諸如(但不限於)一電容性觸控螢幕、一電阻性觸控螢幕、一基於表面聲波之觸控螢幕、一基於紅外線之觸控螢幕或類似者)整合。在一般意義上,能與一顯示裝置之顯示部分整合之任何觸控螢幕介面適於實施於本發明中。在另一實施例中,使用者輸入裝置124可包含(但不限於)一面板安裝介面。 可進一步如本文中所描述而組態圖1中所繪示之系統100之該等實施例。另外,系統100可經組態以執行本文中所描述之該(等)方法實施例之任何者之任何其他步驟。 圖2繪示描繪用於用於缺陷分類之使用電性質來標註一或多組設計資料的一方法200之一製程流程圖。該方法亦可包含可藉由該輸出獲取子系統及/或電腦子系統或本文中所描述之系統執行的任何其他步驟。該等步驟可由可根據本文中所描述之該等實施例之任何者組態的一或多個電腦系統執行。本文中應注意,方法200之該等步驟可由系統100全部或部分實施。然而,應意識到,方法200不受限於系統100,因為額外或替代系統層級實施例可執行方法200之該等步驟之全部或部分。 在一步驟202中,接收一或多組設計資料。例如,該一或多組設計資料可呈RDF格式。在一個實施例中,一組設計資料包含一或多組層。在另一實施例中,一層包含一或多組形狀。在另一實施例中,一形狀係一多邊形。在另一實施例中,將該一或多組設計資料顯示於使用者介面120上。 在一步驟204中,接收該一或多組設計資料中之一受關注圖案(POI)之一選擇。在一個實施例中,分析一或多組設計資料內之各個區域。例如,可將該一或多組設計資料顯示於使用者介面120之顯示裝置122上。藉由另一實例,一使用者可經由使用者介面120之使用者輸入124而放大及縮小該一或多組設計資料。在另一實施例中,在該一或多組設計資料內識別一或多個受關注圖案。在另一實施例中,自該一或多個受關注圖案選擇一特定受關注圖案。例如,可由該使用者經由使用者介面120之使用者輸入124而選擇該特定受關注圖案。藉由另一實例,該特定受關注圖案可包含一特定巨集、一受關注單元或一任意受關注圖案。藉由另一實例,該受關注圖案可由一或多個多邊形表示。在另一實施例中,將該所選受關注圖案顯示於使用者介面120上。 在一步驟206中,使用一或多個電設計性質來標註該所選受關注圖案。在一個實施例中,一使用者分析該所選受關注圖案。例如,該使用者可放大及縮小該所選受關注圖案以觀看其一或多個多邊形。在另一實施例中,該使用者選擇該所選受關注圖案之該等多邊形之一部分。在另一實施例中,該使用者選擇一或多個電設計性質來對該所選受關注圖案之該等多邊形之該所選部分進行標註。例如,可將該一或多個電設計性質儲存於控制器110之記憶體114內且將其顯示於使用者介面120之顯示器122上。例如,該經儲存一或多個電設計性質可包含用於本技術中已知之任何晶片設計之所有可行電設計性質。另外,該經儲存一或多個電設計性質可為基於先前使用者選擇之性質、回應於由該所選受關注圖案之控制器110之識別或一特定晶片設計之識別而實施之預程式化指令的一壓縮列表。藉由另一實例,可由該使用者經由使用者介面120之使用者輸入124而輸入該一或多個電設計性質。在另一實施例中,將該一或多個電設計性質顯示於使用者介面120上。在另一實施例中,將該標註受關注圖案儲存於該一或多組設計資料內。 在一可選步驟208中,使用該一或多個電設計性質來標註該所選受關注圖案之一或多個重複例項。在一個實施例中,一圖案搜尋功能針對該先前所選受關注圖案之重複例項而分析該一或多組設計資料。在另一實施例中,該圖案搜尋功能使用該等先前標註一或多個電設計性質來標註該等重複例項。在另一實施例中,將該所選受關注圖案之該一或多個重複例項顯示於使用者介面120上。在另一實施例中,將該所選受關注圖案之該一或多個重複例項之該一或多個電設計性質顯示於使用者介面120上。在另一實施例中,將該受關注圖案之該標註一或多個重複例項儲存於該一或多組設計資料內。在另一實施例中,將該圖案搜尋功能之該等分析結果儲存於該一或多組設計資料內。本文中應注意,若該受關注圖案係一巨集或一受關注單元,則可不需要該圖案搜尋,但該圖案搜尋仍可根據需要藉由製程200實施。 應注意,可針對該一或多組設計資料內之額外受關注圖案重重複程200之該等步驟。 進一步應注意,可在儲存該所選受關注圖案之該等標註電設計性質之前實施該圖案搜尋功能。在此方面,將在使該等標註儲存於該一或多組設計資料內之前標註該所選受關注圖案之所有例項。因此,上文描述不應解釋為對本發明之一限制而是僅為一圖解說明。 標註一或多組設計資料內之一所選受關注圖案用以提供一或多個電設計性質以當在晶圓檢測期間判定一缺陷之構造時使用。在一個實施例中,該等電設計性質包含一缺陷類型特性(即,空隙、短路、緊束或類似者)、設計次特性(即,一電力線、一接地線、一時序功能、一資料功能或類似者)及對該設計之一重要等級(即,無害、干擾、材料及類似術語;一權重標度系統;或類似者)之任何者。 圖3繪示描繪用於基於電設計性質而自動分類一或多個缺陷之一方法300之一製程流程圖。該方法亦可包含可藉由該輸出獲取子系統及/或電腦子系統或本文中所描述之系統執行的任何其他步驟。該等步驟可由可根據本文中所描述之該等實施例之任何者組態的一或多個電腦系統執行。本文中應注意,方法300之該等步驟可由系統100全部或部分實施。然而,應意識到,方法300不受限於系統100,因為額外或替代系統層級實施例可執行方法300之該等步驟之全部或部分。 在一步驟302中,接收一樣品之一所選區域之一或多個影像。在一個實施例中,該一或多個影像包含該樣品之該所選區域之一或多個層之影像。在另一實施例中,該一或多個影像包含該樣品之該所選區域之一層內的一或多個形狀之影像。在另一實施例中,由控制器110自成像工具102接收該一或多個影像。然而,應注意,可代替地由一使用者而將來自一先前晶圓檢測之該一或多個結果上傳至控制器110。在此方面,可使控制器110通信地耦合至成像工具102或與成像工具102分離。在另一實施例中,使該樣品之該所選區域之一或多個層之該一或多個影像顯示於使用者介面120上。 在一步驟304中,接收與該樣品之該所選區域相關聯之一或多組設計資料。例如,可自記憶體114擷取該一或多組設計資料。藉由另一實例,可自一使用者接收該一或多組設計資料。在一個實施例中,使用一或多個電設計性質來標註該一或多組設計資料。在另一實施例中,將該一或多組設計資料顯示於使用者介面120上。 在一步驟306中,定位該樣品之該所選區域之該一或多個影像中的一或多個缺陷。在一個實施例中,控制器110比較該樣品之該所選區域之該一或多個影像與該一或多組設計資料。在另一實施例中,控制器110將來自該一或多組設計資料之該一或多個影像之間的一差別識別為該一或多個影像中之一缺陷。在另一實施例中,將該一或多個缺陷顯示於使用者介面120上。 本文中應注意,可在不比較該一或多個影像與該一或多組設計資料的情況下定位該樣品之該所選區域之該一或多個影像中的該等缺陷,而代替地可在步驟306中藉由本技術中已知之任何其他晶圓檢測及檢視製程定位。因此,上文描述不應解釋為對本發明之一限制而是僅為一圖解說明。 在一步驟308中,自該一或多組設計資料擷取使用電設計性質標註之一或多個對應受關注圖案。為本發明之目的,使用電設計性質標註之一對應受關注圖案係一設計晶片。在另一實施例中,該一或多個設計晶片由圍繞該樣品之該所選區域之該一或多個影像中之該一或多個缺陷之該位置的一或多個多邊形表示。在另一實施例中,該一或多個設計晶片具有範圍自0.250微米至10微米之一或多個尺寸。例如,該設計晶片之面積可為0.250微米x0.250微米。藉由另一實例,該設計晶片之面積可為1微米x1微米。藉由另一實例,該設計晶片之面積可為10微米x10微米。本文中應注意,該設計晶片之形狀不可為正方形,但代替地可為本技術中已知之任何規則或不規則形狀。因此,上文描述不應解釋為對本發明之一限制而是僅為一圖解說明。在另一實施例中,將該一或多個電設計性質顯示於使用者介面120上。在另一實施例中,該一或多個設計晶片包含一或多個標註電性質。例如,該等標註電性質可包含(但不限於)一缺陷類型特性、一設計次特性或對該設計之一重要等級。 在一步驟310中,基於該一或多個標註電設計性質而分類該樣品之該所選區域之該一或多個影像中的該一或多個缺陷。例如,使用一或多個缺陷類型特性(即,空隙、短路、緊束或類似者)、設計次特性(即,一電力線、一接地線、一時序功能、一資料功能或類似者)及對該設計之重要等級(即,無害、干擾、材料及類似術語;一權重標度系統;或類似者)來分類該一或多個缺陷。 應注意,可針對該樣品之該所選區域之該一或多個影像內之額外缺陷及對應受關注圖案而重重複程300之該等步驟。 亦應注意,基於缺陷類型特性及設計次特性而分類由晶圓檢測所致之該一或多個影像中找到之一或多個缺陷可藉由將產量殺手缺陷排定優先等級而幫助一使用者找到缺陷率之根源,因此潛在地減少用於檢測所需之時間。在一個實施例中,一缺陷之設計次特性使得一使用者能夠將該缺陷連接至晶片功能性中之一特定故障。感知問題之實例包含(但不限於)缺陷位置(例如,一電力線或接地線上之缺陷)之電意圖、一丟失電結構,包含(但不限於)一接觸或一通路,或在一重要時脈網上緊束。例如,在所選受關注圖案係一SRAM位元單元的情況下,一缺陷可經特性化為一「空隙」且經次特性化為「一SRAM區域中之一位元線上之一空隙」。另外,一缺陷可經特性化為「緊束」且經次特性化為「在一電重要時脈網上緊束」。此處,設計次特性可幫助一使用者更快速地使「緊束」缺陷與一晶片時序故障關聯。 進一步應注意,就對設計之重要性而言,該等定義缺陷可最小化產品浪費及對消費者及製造商或零售商兩者之潛在損害。例如,一缺陷可視作一材料故障或一干擾,取決於一晶片之功能如何受影響。在正確地評估缺陷之重要性時,具一干擾缺陷之一晶片可不同於具由製造商或零售商之一材料缺陷之一晶片而處理。例如,具一干擾缺陷之一晶片可以一較低價格售與一期望市場,而非與含有一材料缺陷之晶片一起批量報廢。 在預期實施例中,控制器110在分類製程300期間需要來自一使用者之輸入。例如,該使用者可在顯示器122上經由使用者輸入124在該一或多組設計資料與該樣品之該所選區域之該一或多個影像之間切換。例如,顯示器122可在一或多個缺陷之定位期間顯示該樣品之該一或多個影像及一或多組設計資料兩者用於側至側比較。另外,顯示器122可將該樣品之該一或多個影像及一或多組設計資料顯示於重疊圖形窗中。藉由另一實例,控制器110可回應於一使用者企圖而將一經定位缺陷及具標註電性質資料之該對應受關注圖案顯示於顯示器122上。藉由另一實例,控制器110可在繼續分類製程200之前(包含(但不限於)一「標註」、「節約」或「繼續」企圖)在一缺陷及由一或多個電設計性質標註之對應受關注圖案之顯示之後需要來自該使用者之輸入。因此,上文描述不應解釋為對本發明之一限制而是僅為一圖解說明。 儘管已繪示本發明之特定實施例,然應明白,熟習此項技術者可在不脫離前述揭示內容之範疇及精神之情況下做出本發明之各種修改及實施例。因此,本發明之範疇應僅受附加至此之申請專利範圍所限制。This application is based on 35 U. S. C.  § 119(e) claims Prathanti Uppaluri, entitled "METHOD FOR DEFECT CLASSIFICATION BASED ON ELECTRICAL DESIGN INTENT", which was filed on May 26, 2016. Thirupurasundari Jayaraman, Ardis Liang and Srikanth Kandukuri as inventors of US Provisional Patent Application No. 62/341, Priority 765, The entire contents of this application are incorporated herein by reference.  Reference will now be made in detail to the subject matter disclosed. The subject matter is illustrated in the accompanying drawings.  Referring generally to Figures 1A through 3, A system and method for wafer electrical design property labeling and defect classification is disclosed in accordance with the present invention.  Embodiments of the present invention relate to a system and method for labeling design data using electrical design signals, Wherein the electrical design property is attributed to one or more defect characteristics and is used to determine the importance (degree of harm) of a defect to the electrical device or interconnection.  For the purposes of the present invention, As used herein, the terms "design" and "design data" generally refer to the physical design (layout) of an integrated circuit (IC) and are derived from the physical design through complex simulations or simple geometric and Boolean operations. Information. E.g, The entity design can be stored in a data structure (such as a graphical data system (GDS) file, Any other standard machine readable file, Any other suitable file and design database known in the art). Provide IC layout data or wafer design data in a variety of formats, Includes (but is not limited to) GDSII and OASIS formats. A GDSII file is one of the files used to design a representation of layout data. Other examples of such files include (but are not limited to) GL1 and OASIS files and proprietary file formats (such as, Main reticle design file (RDF) data, It is KLA-Tencor, Milpitas, Calif ("KT") is exclusive). Using specific wafer fabrication, Logical and electrical intent coding design data. Design data can be exported to one of the Electronic Design Automation (EDA) tools. E.g, The design data output from the EDA tool can be processed by the analysis software and converted to the RDF format.  It should be noted in this article, One of the main reticle images and/or derivatives thereof obtained by a main reticle inspection system can be used as one of the "agents" or "several agents" for the design. This primary reticle image or one of its derivatives can be used as an alternative to the design layout in any of the embodiments described herein using a design. The design may include Section 7 of the U.S. Patent No. 7, issued on August 4, 2009 by Zafar et al. 570, No. 796 and U.S. Patent No. 7, issued by Kulkarni et al., March 9, 2010, 676, Any other design information or design information agent described in No. 077, The entire contents of both of these are incorporated herein by reference. In addition, The design data can be standard cell library materials, Integrate layout information, Design data for one or more layers, Derivatives of the design data and all or part of the wafer design information.  Further note in this article, The simulated or acquired image from a wafer or main reticle can be used as a proxy for design. Image analysis can also be used as a proxy for design analysis. E.g, A polygon that can be self-printed on one of the wafers and/or one of the main reticle designs. It is assumed that the image of the wafer and/or the main reticle is taken at sufficient resolution to adequately image the design polygon.  The extraction of electrical intent from the design data of the wafer may be automated or manual based on the type of design material available to a user. A rule-driven EDA tool class, such as a layout comparison circuit diagram (LVS), can be used to automatically extract electrical intent from the design data. E.g, LVS tools require all design layers, Contains a text layer, And connection rules to automatically extract the electrical intent of the wafer design. In the case where a complete set of design layers is not available to the user, A user driven solution is available. however, In case a rule drive or user driver is not available, The electrical intent of the design information cannot be used for extraction. thus, It will be desirable to use the design's electrical intent to label design data to provide information to a user or a controller for use during wafer inspection and inspection processes.  A further embodiment of the invention relates to a system and method for receiving sample detection images and classifying defects found in the sample detection images. The defect can be classified by comparing a defect with a design data that is annotated using electrical design properties. The electrical design properties include the nature of the defect and the importance of the defect. The importance of a defect is defined by its location. Important structural defects affect the electrical integrity of the device. Classification of defects based on defect characteristics and important levels of the semiconductor wafer facilitates proper classification of defects after manufacture, A situation in which most or all of an electrical pattern is lost from the semiconductor wafer.  For the purposes of the present invention, A defect can be classified as a gap, Short circuit, Granules, Residual, Residual film or any other defect known in the art. Defects can be classified as interference (defects with low importance) or material failures (defects of high importance). The importance of a defect is defined by its location and the electrical intent at that location. E.g, Defects in redundant electrical structures that are set for better manufacturability (which do not affect the electrical integrity of the device) are less important than defects in a single electrical structure (eg, material failure) ( For example, interference). E.g, A defect in or on a floating net may be less important than a defect in or on a power line or ground line.  In some cases where one of the defects is present, A wafer can lose an electrical structure (for example, All or a large part of a path or a contact). In this situation, A user may not have sufficient information about the electrical structure to correctly determine the effect of the defect by visual inspection, Because the defect can be located in an empty area without any shape. therefore, The user can misclassify the defect. E.g, Loss of shape or portion of one of the shapes may be erroneously classified as a disturbance rather than a material error due to the lack of shape data in the layer under inspection. Or vice versa. This misclassification can result in a loss of revenue for the manufacturer. Replacement and compensation of wafers that are affected by interference defects in the form of unnecessary reprinting of the interfering wafer or material failure. thus, It would be desirable to provide an electrical intent for comparison within the design data during the inspection and inspection process to provide the detector with an additional resource for determining the importance of a defect.  For the purposes of the present invention, Terminology, Electrical design intent, Electrical properties, Electrical design properties and electrical patterns represent synonymous terms.  FIG. 1 illustrates a system 100 for sample testing in accordance with one or more embodiments of the present invention. In one embodiment, System 100 includes an imaging tool 102. In another embodiment, System 100 includes a sample 104 disposed on a sample stage 106. In another embodiment, System 100 includes a controller 110. In another embodiment, System 100 includes a user interface 120.  In another embodiment, Imaging tool 102 is configured to detect defects on sample 104. E.g, Imaging tool 102 can include any suitable characterization tool known in the art. Such as (but not limited to) a detection tool or inspection tool. E.g, Imaging tool 102 can include, but is not limited to, an electron beam detection or inspection tool (eg, SEM system). By another example, Imaging tool 102 can include, but is not limited to, an optical inspection tool. E.g, The optical inspection tool can include a wideband plasma (BBP) detection tool. Includes, but is not limited to, a laser based plasma maintenance (LSP) detection tool. In another case, The optical detection tool can include a narrowband detection tool. Such as (but not limited to) a laser scanning detection tool. In addition, In the case of optical inspection, Imaging tool 102 can include, but is not limited to, a bright field imaging tool or a dark field imaging tool. It should be noted in this article, Imaging tool 102 can include a configuration configured to detect surface reflection from a sample 104, scattering, Any optical system that illuminates with diffraction and/or radiation. An example of an imaging tool is generally described in U.S. Patent No. 7, issued on August 8, 2006. 092, No. 082; US Patent Case No. 6, issued on September 16, 2003, 621, No. 570; And U.S. Patent No. 5, issued on September 9, 1998, 805, In number 278, The entire contents of each of these are incorporated herein by reference. An example of an imaging tool is also generally described in U.S. Patent No. 8, issued on April 4, 2014.  No. 594, US Patent Case No. 8, issued on April 8, 2014, 692, 204, US Patent Case No. 8, issued on April 15, 2014, 698, No. 093, US Patent Case No. 8, issued on May 6, 2014, 716, No. 662, US Patent Application No. 14/699, filed on April 29, 2015, No. 781, US Patent Application No. 14/667, filed on March 24, 2015, U.S. Patent Application Serial No. 235, filed on Aug. 13, 2014, In No. 155, The entire contents of each of these are incorporated herein by reference.  In another embodiment, Although not shown, The imaging tool 102 can include an illumination source, a detector and various optical components for performing the detection (for example, lens, Beam splitter and the like). E.g, The illumination source of imaging tool 102 can include any illumination source known in the art. E.g, The illumination source can include, but is not limited to, a broadband source or a narrowband source. In addition, The illumination source can be configured to direct light to the surface of the sample 104 disposed on the sample stage 106 (via various optical components). Further, The various optical components of imaging tool 102 can be configured to direct light reflected and/or scattered from the surface of sample 104 to the detector of imaging tool 102. By another example, The detector of imaging tool 102 can include any suitable detector known in the art. E.g. The detector can include, but is not limited to, a photomultiplier tube (PMT), Charge coupled device (CCD), Time-delay integration (TDI) cameras and the like. In addition, The output of the detector can be communicatively coupled to one of the controllers 110 as described in further detail herein.  In one embodiment, Sample 104 contains a wafer. E.g, Sample 104 can include, but is not limited to, a semiconductor wafer. As used throughout the invention, The term "wafer" generally refers to a substrate formed of a semiconductor material or a non-semiconductor material. E.g, A semiconductor or semiconductor material can include, but is not limited to, a single crystal germanium, Gallium arsenide and indium phosphide.  In another embodiment, Sample 104 is manufactured based on one or more sets of design data. In another embodiment, A set of design materials contains one or more sets of layers. E.g, Such layers may include, but are not limited to, a resist, a dielectric material, A conductive material and a half conductive material. Many different types of such layers are known in the art. And the term wafer as used herein is intended to encompass a wafer on which all of these layers can be formed. By another example, The one or more layers formed on the wafer may be repeated one or more times within the wafer. The formation and processing of such material layers can ultimately result in the completion of the device. Many different types of devices can be formed on a wafer. And the term wafer as used herein is intended to encompass a wafer on which any type of device known in the art is fabricated.  In another embodiment, A layer contains one or more sets of shapes. E.g, The one or more sets of shapes can be repeated one or more times within the layer. By another example, A set of shapes can be regular or irregular. In another embodiment, A shape is a polygon. The implementation of the polygon in detecting the design information of a device is generally described in the US Patent Case No. 8 of December 30, 2014. 923, 600 and US Patent Application No. 14/178 of February 12, 2014, In No. 866, The entire contents of each of these are incorporated herein by reference.  In another embodiment, The one or more sets of design materials include one or more patterns of interest. E.g, The one or more patterns of interest may be repeated one or more times within the one or more sets of design materials. In another embodiment, A pattern of interest can be represented by one or more sets of shapes. In another embodiment, The pattern of interest may be a unit defined within the one or more sets of design materials. It should be noted in this article, A pattern of interest may correspond to a particular electrical intent of one of the one or more sets of design materials. As per the user of the present invention, The electrical intent of the one or more sets of design data includes (but is not limited to) a power line, a grounding wire, a time series, One word line, One yuan line, a data line, A logical line and the like.  FIG. 1B illustrates one or more layers of a set of design data for sample 104 in accordance with the present invention. In one embodiment, The set of design materials includes a layer 130. In another embodiment, Layer 130 contains one or more polygons. E.g, Layer 130 can have repeating polygons. E.g, Layer 130 can have a set of repeating polygons 132. In addition, Layer 130 can have a set of repeating polygons 134. By another example, Layer 130 can have a single polygon. E.g, Layer 130 can have a single polygon 136. In addition, Layer 130 can have a single polygon 138. By another example, Layer 130 can have one or more additional polygons 139. In another embodiment, A user can mark the one or more polygons using one or more electrical properties. In one example, The one or more polygons may be labeled using an electrical design property for an SRAM bit cell. E.g, The user can mark the set of repeating polygons 132 as a voltage source. In addition, The user can mark the set of repeating polygons 134 as a ground. Further, The user can mark the polygon 136 as a word line. Further, The user can mark the polygon 138 as a one-dimensional line.  It should be noted in this article, One or more polygons 132 may be labeled using the same or different electrical design properties, 134, 136, 138, 139. Further note in this article, Additional or alternative polygons on layer 130 may be labeled using one or more electrical design properties. E.g. One or more polygons 132, 134, 136, 138, 139 does not require the use of one or more electrical properties. By another example, A user may use one or more electrical design properties to label any of the polygons depicted in FIG. 1B. therefore, The above description should not be construed as limiting the invention, but only as an illustration.  In another embodiment, The set of design data for sample 104 includes one or more additional sets of polygons on one or more additional layers. E.g, The set of design data for the sample 104 can include a set of polygons 140 on one layer. By another example, The set of design data for the sample 104 can include a set of polygons 150 on a layer. By another example, The set of design data for the sample 104 can include a set of polygons 160 on one layer. By another example, The set of design data for the sample 104 can include a set of polygons 170 on one layer.  In another embodiment, Polygon 140, 150. 160, 170 groups can be on separate layers. however, It should be noted in this article, Polygon 140, 150. 160, One or more of the 170 groups may be on the same layer. In addition, It should be noted in this article, Polygon 140, 150. 160, One or more of the 170 groups may be on layer 130, Layer 130 includes a polygon 132, 134, 136, 138, 139. therefore, The above description should not be construed as limiting the invention, but only as an illustration.  Referring again to Figure 1A, In another embodiment, Sample stage 106 can comprise any suitable mechanical and/or machine assembly known in the art. E.g, The sample stage 106 can be configured to actuate the sample 104 to a selected position or orientation. E.g, The sample stage 106 can include or can be mechanically coupled to one or more actuators (such as a motor or servo system), The actuator is configured to translate or rotate for positioning, according to a selected detection or metrology algorithm, Sample 104 is focused and/or scanned (some of which are known in the art).  In one embodiment, The controller 110 includes one or more processors 112 and a memory medium 114. In another embodiment, One or more sets of program instructions 116 are stored in the memory medium 114. In another embodiment, One or more processors 112 are configured to execute the set of program instructions 116 to perform one or more of the various steps described throughout the present invention.  In another embodiment, User interface 120 is communicatively coupled to one or more processors 112 of controller 110. In another embodiment, The user interface 120 includes a display device 122. In another embodiment, User interface 120 includes a user input 124.  In another embodiment, Controller 110 is configured to receive and/or retrieve data or information from other systems or subsystems by transmitting media that may include one of wired and/or wireless portions (eg, One or more sets of information from the imaging tool 102 or any of the components from the imaging tool 102 or one or more user inputs via the user interface 120). In another embodiment, The controller 110 of the system 100 is configured to transmit data or information by transmitting media over one of the wired and/or wireless portions (eg, The output of one or more processes disclosed herein is transmitted to one or more systems or subsystems (eg, One or more commands to the imaging tool 102 or to any of the components of the imaging tool 102 or displayed on the user interface 120 one or more outputs). In this regard, The transmission medium can be used as a data link between the controller 110 and other subsystems of the system 100. In another embodiment, Controller 110 is configured to communicate via a transmission medium (eg, Network connection) and send data to the external system.  In one example, One of the imaging tools 102 can be detected in any suitable manner (eg, Coupling to the controller 110 by one or more transmission media indicated by the dashed lines shown in FIG. The controller 110 is enabled to receive the output generated by the detector. By another example, If the imaging tool 102 includes more than one detector, Controller 110 can then be coupled to the plurality of detectors as described above. It should be noted in this article, Controller 110 can be configured to use detection data collected and transmitted by imaging tool 102, Any one or more defects on the sample 104 are detected using any method and/or algorithm known in the art to detect defects on the wafer. E.g, Imaging tool 102 can be configured to accept instructions from another subsystem of system 100 including, but not limited to, controller 110. Once the instructions from the controller 110 are accepted, The imaging tool 102 can perform a detection process (ie, a detection protocol) at the locations of the samples 104 identified in the provided instructions, The results of the detection process are transmitted to the controller 110.  In one embodiment, The set of program instructions 116 are programmed to cause the one or more processors to use electrical design properties to label one or more sets of design data. E.g, The set of program instructions 116 can be programmed to cause the one or more processors to receive one or more sets of design materials. By another example, The set of program instructions 116 can be programmed to cause the one or more processors to receive one of the one of the one or more sets of design materials to be selected. By another example, The set of program instructions 116 can be programmed to cause the one or more processors to mark the selected pattern of interest using one or more electrical design properties. By another example, The set of program instructions 116 can be programmed to cause the one or more processors to use the one or more electrical design properties to annotate one or more of the selected patterns of interest.  It should be noted in this article, The controller 110 can use the electrical design properties stored in the memory 114 or use the user input electrical design properties to label the patterns of interest with one or more sets of design data. Further note in this article, The controller 110 can automatically mark the pattern of interest. Or, instead, the following patterns of interest from a user's feedback via the user interface 120 are noted.  In another embodiment, The set of program instructions 116 are alternatively or additionally programmed to cause the one or more processors to analyze sample detection results from the imaging tool 102 and to classify one or more defects within the results. E.g, The set of program instructions 116 can be programmed to cause the one or more processors to receive one or more images of a selected area of a sample. By another example, The set of program instructions 116 can be programmed to cause the one or more processors to receive one or more sets of design material associated with the selected area of the sample. By another example, The set of program instructions 116 can be programmed to cause the one or more processors to locate one or more defects in the one or more images of the selected region of the sample. By another example, The set of program instructions 116 can be programmed to cause the one or more processors to retrieve one or more corresponding patterns of interest using the electrical design properties from the one or more sets of design data. By another example, The set of program instructions 116 can be programmed to cause the one or more processors to classify the one or more of the one or more images of the selected region of the sample based on the one or more labeled electrical design properties Multiple defects.  It should be noted in this article, Controller 110 can automatically classify the defects based on the electrical design properties of the one or more sets of design data. In addition, The controller 110 can classify the defects based on the electrical design properties of the one or more sets of design data from a user feedback from the user interface 120.  In one embodiment, One or more processors 112 of controller 110 include any one or more of the processing elements known in the art. In this sense, The one or more processors 112 can include any microprocessor device configured to perform algorithms and/or instructions. E.g, One or more processors 112 may be from a desktop computer, Host computer system, workstation, Video computer, Parallel processor, Vehicle onboard computer, Handheld computer (for example, tablet, A smart phone or tablet phone) or other computer system configured to execute a program configured with one of the operating systems 100 (eg, Network computer), As described throughout the present invention. Should be aware that The steps described throughout the present invention can be carried out by a single computer system or alternatively a multi-computer system. In general, The term "processor" is broadly defined to encompass any device having one or more processing elements. It executes program instructions 116 from a non-transitory memory medium (e.g., memory 114). In addition, Different subsystems of system 100 (eg, The imaging tool 102 or user interface 120) may comprise a processor or logic element adapted to perform at least a portion of the steps described herein. therefore, The above description should not be construed as limiting the invention, but only as an illustration.  In one embodiment, The memory medium 114 of the controller 110 includes any storage medium known in the art suitable for storing program instructions 116 executable by the associated processor(s) 112. E.g, The memory medium 114 can include a non-transitory memory medium. E.g, The memory medium 114 can include, but is not limited to, a read-only memory, a random access memory, a magnetic or optical memory device (such as a disk), a tape, A solid state disk and the like. In another embodiment, It should be noted in this article, The memory 114 is configured to provide display information to a display device 122 and/or the output of the various steps described herein. Further attention should be paid to The memory 114 can be housed in a common controller housing having one or more processors 112. In an alternate embodiment, The memory 114 can be located remotely relative to the physical locations of the processor 112 and the controller 110. E.g, One or more processors 112 of the controller 110 are accessible through a network (eg, Internet, The internal network and the like) access one of the remote memories (such as a server). In another embodiment, The memory medium 114 stores program instructions 116 for causing one or more processors 112 to perform the various steps described throughout the present invention.  In one embodiment, Display device 122 includes any of the display devices known in the art. E.g, The display device can include, but is not limited to, a liquid crystal display (LCD). By another example, The display device can include, but is not limited to, an organic light emitting diode (OLED) based display. By another example, The display device can include, but is not limited to, a CRT display. Those skilled in the art should be aware that A variety of display devices may be suitable for implementation in the present invention and the particular choice of display device may depend on a variety of factors. It includes, but is not limited to, the size of the appearance, Cost and similar. In a general sense, Capable with user input devices (for example, Touch screen, Panel mounting interface, keyboard, mouse, Any of the display devices integrated with the track pad and the like are suitable for implementation in the present invention.  In one embodiment, User input device 124 includes any user input device known in the art. E.g, User input device 124 can include, but is not limited to, a keyboard, Keypad, Touch screen, lever, Knob, Wheel, Trackball, switch, Dial, Slider, Rolling rod, Sliding parts, handle, Touch pad, pedal, steering wheel, Joystick, Panel input device or the like. In the case of a touch screen interface, Those skilled in the art should be aware that A large number of touch screen interfaces are suitable for implementation in the present invention. E.g, The display device 122 can be coupled to a touch screen interface (such as, but not limited to) a capacitive touch screen, a resistive touch screen, a touch screen based on surface acoustic waves, An infrared-based touch screen or similar) is integrated. In a general sense, Any touch screen interface that can be integrated with the display portion of a display device is suitable for implementation in the present invention. In another embodiment, User input device 124 can include, but is not limited to, a panel mounting interface.  These embodiments of the system 100 illustrated in Figure 1 can be further configured as described herein. In addition, System 100 can be configured to perform any of the other steps of any of the method embodiments described herein.  2 depicts a process flow diagram depicting a method 200 for an electrical property for defect classification to label one or more sets of design data. The method can also include any other steps that can be performed by the output acquisition subsystem and/or computer subsystem or the system described herein. These steps may be performed by one or more computer systems that may be configured in accordance with any of the embodiments described herein. It should be noted in this article, These steps of method 200 may be implemented in whole or in part by system 100. however, Should be aware that Method 200 is not limited to system 100, Because additional or alternative system level embodiments may perform all or part of such steps of method 200.  In a step 202, Receive one or more sets of design materials. E.g, The one or more sets of design data may be in RDF format. In one embodiment, A set of design materials contains one or more sets of layers. In another embodiment, A layer contains one or more sets of shapes. In another embodiment, A shape is a polygon. In another embodiment, The one or more sets of design data are displayed on the user interface 120.  In a step 204, Receiving one of the one of the one or more sets of design materials, a selection of a pattern of interest (POI). In one embodiment, Analyze each area within one or more sets of design data. E.g, The one or more sets of design data can be displayed on the display device 122 of the user interface 120. By another example, A user can zoom in and out of the one or more sets of design data via user input 124 of user interface 120. In another embodiment, Identifying one or more patterns of interest within the one or more sets of design materials. In another embodiment, A particular pattern of interest is selected from the one or more patterns of interest. E.g, The particular pattern of interest can be selected by the user via user input 124 of user interface 120. By another example, The particular pattern of interest may include a particular macro, A subject of interest or an arbitrary pattern of interest. By another example, The pattern of interest can be represented by one or more polygons. In another embodiment, The selected pattern of interest is displayed on the user interface 120.  In a step 206, The selected pattern of interest is labeled using one or more electrical design properties. In one embodiment, A user analyzes the selected pattern of interest. E.g, The user can zoom in and out of the selected pattern of interest to view one or more of its polygons. In another embodiment, The user selects a portion of the polygons of the selected pattern of interest. In another embodiment, The user selects one or more electrical design properties to label the selected portion of the polygons of the selected pattern of interest. E.g, The one or more electrical design properties can be stored in the memory 114 of the controller 110 and displayed on the display 122 of the user interface 120. E.g, The stored one or more electrical design properties can include all of the possible electrical design properties for any of the wafer designs known in the art. In addition, The stored one or more electrical design properties may be based on the nature selected by the prior user, A compressed list of pre-programmed instructions implemented in response to the identification of the controller 110 of the selected pattern of interest or the identification of a particular wafer design. By another example, The one or more electrical design properties may be entered by the user via user input 124 of user interface 120. In another embodiment, The one or more electrical design properties are displayed on the user interface 120. In another embodiment, The annotation-affected pattern is stored in the one or more sets of design materials.  In an optional step 208, The one or more electrical design properties are used to label one or more of the selected instances of the selected pattern of interest. In one embodiment, A pattern search function analyzes the one or more sets of design data for repeated instances of the previously selected pattern of interest. In another embodiment, The pattern search function labels the repeating instances using the one or more electrical design properties previously labeled. In another embodiment, The one or more repeating instances of the selected pattern of interest are displayed on the user interface 120. In another embodiment, The one or more electrical design properties of the one or more repeating instances of the selected pattern of interest are displayed on the user interface 120. In another embodiment, The one or more repeated instances of the noted pattern are stored in the one or more sets of design data. In another embodiment, The results of the analysis of the pattern search function are stored in the one or more sets of design data. It should be noted in this article, If the image of interest is a macro or a unit of interest, Then the pattern search is not needed. However, the pattern search can still be performed by process 200 as needed.  It should be noted that These steps of repeat 200 can be repeated for additional patterns of interest within the one or more sets of design materials.  Further attention should be paid to The pattern search function can be implemented prior to storing the labeled electrical design properties of the selected pattern of interest. In this regard, All instances of the selected pattern of interest will be labeled prior to storing the labels in the one or more sets of design materials. therefore, The above description should not be construed as limiting the invention, but only as an illustration.  One of the selected patterns of interest within one or more sets of design data is used to provide one or more electrical design properties for use in determining a defective configuration during wafer inspection. In one embodiment, The isoelectric design property includes a defect type characteristic (ie, Void, Short circuit, Tight or similar) Design sub-features (ie, a power line, a grounding wire, a timing function, a data function or the like) and an important level of the design (ie, harmless, interference, Materials and similar terms; a weighting scale system; Or any of them.  3 depicts a process flow diagram depicting one method 300 for automatically classifying one or more defects based on electrical design properties. The method can also include any other steps that can be performed by the output acquisition subsystem and/or computer subsystem or the system described herein. These steps may be performed by one or more computer systems that may be configured in accordance with any of the embodiments described herein. It should be noted in this article, These steps of method 300 may be implemented in whole or in part by system 100. however, Should be aware that Method 300 is not limited to system 100, Because additional or alternative system level embodiments may perform all or part of such steps of method 300.  In a step 302, Receiving one or more images of a selected area of a sample. In one embodiment, The one or more images comprise an image of one or more of the selected regions of the sample. In another embodiment, The one or more images comprise images of one or more shapes within one of the selected regions of the sample. In another embodiment, The one or more images are received by the controller 110 from the imaging tool 102. however, It should be noted that The one or more results from a previous wafer inspection may instead be uploaded to the controller 110 by a user. In this regard, The controller 110 can be communicatively coupled to or detached from the imaging tool 102. In another embodiment, The one or more images of one or more of the selected regions of the sample are displayed on the user interface 120.  In a step 304, Receiving one or more sets of design data associated with the selected area of the sample. E.g, The one or more sets of design data may be retrieved from the memory 114. By another example, The one or more sets of design materials may be received from a user. In one embodiment, The one or more sets of design materials are labeled using one or more electrical design properties. In another embodiment, The one or more sets of design data are displayed on the user interface 120.  In a step 306, Positioning one or more defects in the one or more images of the selected region of the sample. In one embodiment, The controller 110 compares the one or more images of the selected region of the sample to the one or more sets of design data. In another embodiment, The controller 110 identifies a difference between the one or more images from the one or more sets of design data as one of the one or more images. In another embodiment, The one or more defects are displayed on the user interface 120.  It should be noted in this article, Positioning the defects in the one or more images of the selected region of the sample without comparing the one or more images with the one or more sets of design data, Alternatively, the process positioning can be detected and viewed in step 306 by any other wafer known in the art. therefore, The above description should not be construed as limiting the invention, but only as an illustration.  In a step 308, One or more corresponding patterns of interest are drawn from the one or more sets of design data using electrical design properties. For the purposes of the present invention, One of the electrical design property annotations corresponds to the design of the desired pattern. In another embodiment, The one or more design wafers are represented by one or more polygons surrounding the location of the one or more defects in the one or more images of the selected region of the sample. In another embodiment, The one or more design wafers have a range from 0. One or more sizes from 250 microns to 10 microns. For example, the area of the design wafer can be 0. 250 micron x0. 250 microns. By way of another example, the area of the design wafer can be 1 micron x 1 micron. By way of another example, the design wafer can have an area of 10 microns x 10 microns. It should be noted herein that the shape of the design wafer may not be square, but instead may be any regular or irregular shape known in the art. Therefore, the above description should not be taken as limiting the invention, but only as an illustration. In another embodiment, the one or more electrical design properties are displayed on the user interface 120. In another embodiment, the one or more design wafers comprise one or more labeled electrical properties. For example, the marked electrical properties may include, but are not limited to, a defect type characteristic, a design secondary characteristic, or an important level to the design. In a step 310, the one or more defects in the one or more images of the selected region of the sample are classified based on the one or more labeled electrical design properties. For example, using one or more defect type characteristics (ie, voids, shorts, tight bundles, or the like), designing secondary characteristics (ie, a power line, a ground line, a timing function, a data function, or the like) and An important level of design (ie, harmless, interference, materials, and the like; a weighting scale system; or the like) to classify the one or more defects. It should be noted that these steps of repeating 300 may be repeated for additional defects within the one or more images of the selected region of the sample and corresponding patterns of interest. It should also be noted that classifying one or more defects in the one or more images resulting from wafer inspection based on defect type characteristics and design sub-characteristics may help to use one by prioritizing yield killer defects. The source of the defect rate is found, thus potentially reducing the time required for detection. In one embodiment, a defect design sub-characteristic enables a user to connect the defect to one of the wafer functionalities. Examples of perceptual problems include, but are not limited to, electrical intent of a defect location (eg, a defect on a power line or ground line), a lost electrical structure, including but not limited to a contact or a path, or an important clock Tight online. For example, in the case where the selected pattern of interest is an SRAM bit cell, a defect can be characterized as a "gap" and sub-characterized as "a gap in one of the bit lines in an SRAM region." In addition, a defect can be characterized as "tight bundle" and sub-characterized as "tightening on an important clock network". Here, the design sub-feature can help a user to more quickly associate a "tight bundle" defect with a wafer timing failure. It should further be noted that these definitional deficiencies minimize product waste and potential damage to both the consumer and the manufacturer or retailer in terms of the importance of the design. For example, a defect can be considered as a material failure or an interference depending on how the function of a wafer is affected. In properly assessing the importance of a defect, one of the wafers with one of the interference defects can be processed differently from the wafer having one of the material defects of the manufacturer or retailer. For example, a wafer with one of the interference defects can be sold to a desired market at a lower price, rather than being scrapped in bulk with a wafer containing a material defect. In the contemplated embodiment, controller 110 requires input from a user during classification process 300. For example, the user can switch between the one or more sets of design data and the one or more images of the selected area of the sample via the user input 124 on the display 122. For example, display 122 may display both the one or more images of the sample and one or more sets of design data for side-to-side comparison during positioning of one or more defects. Additionally, display 122 can display the one or more images and one or more sets of design data for the sample in an overlay graphic window. By way of another example, the controller 110 can display a corresponding defect pattern and a corresponding attention pattern with the marked electrical property information on the display 122 in response to a user attempt. By way of another example, controller 110 may, prior to continuing classification process 200 (including (but not limited to) an "annotation", "saving" or "continue" attempt), in a defect and marked by one or more electrical design properties The input from the user is required after the display of the corresponding attention pattern. Therefore, the above description should not be taken as limiting the invention, but only as an illustration. While the invention has been described with respect to the specific embodiments of the present invention, it is understood that various modifications and embodiments of the invention may be made without departing from the scope and spirit of the invention. Accordingly, the scope of the invention should be limited only by the scope of the appended claims.

100‧‧‧系統
102‧‧‧成像工具
104‧‧‧樣品
106‧‧‧樣品台
110‧‧‧控制器
112‧‧‧處理器
114‧‧‧記憶體媒體
116‧‧‧程式指令
120‧‧‧使用者介面
122‧‧‧顯示裝置
124‧‧‧使用者輸入
130‧‧‧層
132‧‧‧多邊形
134‧‧‧多邊形
136‧‧‧多邊形
138‧‧‧多邊形
139‧‧‧多邊形
140‧‧‧多邊形
150‧‧‧多邊形
160‧‧‧多邊形
170‧‧‧多邊形
200‧‧‧方法
202‧‧‧步驟
204‧‧‧步驟
206‧‧‧步驟
208‧‧‧步驟
300‧‧‧方法
302‧‧‧步驟
304‧‧‧步驟
306‧‧‧步驟
308‧‧‧步驟
310‧‧‧步驟
100‧‧‧ system
102‧‧‧ imaging tools
104‧‧‧ samples
106‧‧‧Sample table
110‧‧‧ Controller
112‧‧‧ processor
114‧‧‧Memory Media
116‧‧‧Program Instructions
120‧‧‧User interface
122‧‧‧ display device
124‧‧‧User input
130‧‧ layers
132‧‧‧ polygon
134‧‧‧ polygon
136‧‧‧ polygon
138‧‧‧ polygon
139‧‧‧ polygon
140‧‧‧ Polygon
150‧‧‧ Polygon
160‧‧‧Poly
170‧‧‧ polygon
200‧‧‧ method
202‧‧‧Steps
204‧‧‧Steps
206‧‧‧Steps
208‧‧‧Steps
300‧‧‧ method
302‧‧‧Steps
304‧‧‧Steps
306‧‧‧Steps
308‧‧‧Steps
310‧‧‧Steps

熟習技術者可藉由參考附圖而更佳地理解本發明之諸多優點,其中: 圖1A繪示根據本發明之用於晶圓檢測之一系統之一方塊圖。 圖1B繪示根據本發明之包含一或多個層之一組設計資料。 圖2繪示根據本發明之用於用於缺陷分類之使用一或多個電設計性質來標註一或多組設計資料的一方法之一製程流程圖。 圖3繪示根據本發明之用於基於電設計性質而自動地分類一或多個缺陷之一方法之一製程流程圖。A person skilled in the art can better understand the advantages of the present invention by referring to the accompanying drawings, in which: Figure 1A is a block diagram of one of the systems for wafer inspection in accordance with the present invention. 1B illustrates a set of design data comprising one or more layers in accordance with the present invention. 2 illustrates a process flow diagram of a method for labeling one or more sets of design data for use in defect classification using one or more electrical design properties in accordance with the present invention. 3 illustrates a process flow diagram of one of the methods for automatically classifying one or more defects based on electrical design properties in accordance with the present invention.

300‧‧‧方法 300‧‧‧ method

302‧‧‧步驟 302‧‧‧Steps

304‧‧‧步驟 304‧‧‧Steps

306‧‧‧步驟 306‧‧‧Steps

308‧‧‧步驟 308‧‧‧Steps

310‧‧‧步驟 310‧‧‧Steps

Claims (39)

一種用於基於電設計性質而自動地分類一或多個缺陷之系統,其包括: 一成像工具; 一使用者介面,其中該使用者介面包含一顯示器及一使用者輸入裝置;及 一控制器,其包含經組態以執行儲存於記憶體中之一組程式指令的一或多個處理器,其中該等程式指令經組態以致使該一或多個處理器: 接收一樣品之一所選區域之一或多個影像; 接收與該樣品之該所選區域相關聯之一或多組設計資料,其中一組設計資料包含一或多個層,其中一層包含一或多組形狀; 藉由比較該樣品之該所選區域之該一或多個影像與該一或多組設計資料而定位該樣品之該所選區域之該一或多個影像中的一或多個缺陷; 自對應於該一或多個缺陷之該一或多組設計資料擷取一或多個受關注圖案,其中該一或多個受關注圖案包含一或多個標註電設計性質,其中該受關注圖案由一或多個形狀表示;且 基於該一或多個標註電設計性質而分類該樣品之該所選區域之該一或多個影像中的該一或多個缺陷。A system for automatically classifying one or more defects based on electrical design properties, comprising: an imaging tool; a user interface, wherein the user interface includes a display and a user input device; and a controller Exciting one or more processors configured to execute a set of program instructions stored in the memory, wherein the program instructions are configured to cause the one or more processors to: receive one of the samples Selecting one or more images of the region; receiving one or more sets of design data associated with the selected region of the sample, wherein the set of design materials comprises one or more layers, one of the layers comprising one or more sets of shapes; Locating one or more defects in the one or more images of the selected region of the sample by comparing the one or more images of the selected region of the sample with the one or more sets of design data; Retrieving one or more patterns of interest in the one or more sets of design data for the one or more defects, wherein the one or more patterns of interest comprise one or more annotation design properties, wherein the pattern of interest is comprised of One Or a plurality of shape representations; and classifying the one or more defects in the one or more images of the selected region of the sample based on the one or more annotation electrical design properties. 如請求項1之用於基於電設計性質而自動地分類一或多個缺陷之系統,其中該成像工具包含以下之一或多者: 一光學檢測工具或一SEM檢視工具。A system for automatically classifying one or more defects based on electrical design properties, as claimed in claim 1, wherein the imaging tool comprises one or more of the following: an optical inspection tool or an SEM inspection tool. 如請求項1之用於基於電設計性質而自動地分類一或多個缺陷之系統,其中一形狀係一多邊形。A system for claim 1 for automatically classifying one or more defects based on electrical design properties, wherein one shape is a polygon. 如請求項1之用於基於電設計性質而自動地分類一或多個缺陷之系統,其中該等程式指令進一步經組態以致使該一或多個處理器: 顯示該經分類一或多個缺陷。A system for claim 1 for automatically classifying one or more defects based on electrical design properties, wherein the program instructions are further configured to cause the one or more processors to: display the classified one or more defect. 如請求項1之用於基於電設計性質而自動地分類一或多個缺陷之系統,其中該一或多個受關注圖案具有範圍自0.250微米至10微米之至少一個尺寸。A system for claim 1, wherein the one or more patterns of interest have at least one dimension ranging from 0.250 microns to 10 microns. 如請求項1之用於基於電設計性質而自動地分類一或多個缺陷之系統,其中該一或多個標註電性質包含一缺陷類型特性、一設計次特性及對該設計之一重要等級之至少一者。A system for claim 1 for automatically classifying one or more defects based on electrical design properties, wherein the one or more annotation electrical properties comprise a defect type characteristic, a design secondary characteristic, and an important level to the design At least one of them. 如請求項1之用於基於電設計性質而自動地分類一或多個缺陷之系統,其中該等程式指令進一步經組態以致使該一或多個處理器: 接收一或多組設計資料,其中一組設計資料包含一或多個層,其中一層包含一或多組形狀; 自該使用者輸入裝置接收該一或多組設計資料中之一受關注圖案之一選擇,其中該受關注圖案由一或多個形狀表示;及 使用與該所選受關注圖案相關聯之一或多個電設計性質來標註該一或多組設計資料中之該受關注圖案。The system of claim 1 for automatically classifying one or more defects based on electrical design properties, wherein the program instructions are further configured to cause the one or more processors to: receive one or more sets of design materials, One set of design data includes one or more layers, wherein one layer includes one or more sets of shapes; receiving, from the user input device, one of the one or more sets of design materials, one of the patterns of interest selected, wherein the pattern of interest Represented by one or more shapes; and annotating the pattern of interest in the one or more sets of design materials using one or more electrical design properties associated with the selected pattern of interest. 如請求項1之用於基於電設計性質而自動地分類一或多個缺陷之系統,其中該等程式指令進一步經組態以致使該一或多個處理器: 實施一圖案搜尋功能,其中該圖案搜尋功能使用該一或多個電設計性質來標註該受關注圖案之一或多個重複。A system for automatically classifying one or more defects based on electrical design properties, as in claim 1, wherein the program instructions are further configured to cause the one or more processors to: perform a pattern search function, wherein The pattern search function uses the one or more electrical design properties to mark one or more repetitions of the pattern of interest. 如請求項1之用於基於電設計性質而自動地分類一或多個缺陷之系統,其中該等程式指令進一步經組態以致使該一或多個處理器: 將該一或多組設計資料顯示於該使用者介面之該顯示器上。A system for claim 1 for automatically classifying one or more defects based on electrical design properties, wherein the program instructions are further configured to cause the one or more processors to: the one or more sets of design data Displayed on the display of the user interface. 如請求項1之用於基於電設計性質而自動地分類一或多個缺陷之系統,其中該等程式指令進一步經組態以致使該一或多個處理器: 顯示一或多個電設計性質。A system for claim 1 for automatically classifying one or more defects based on electrical design properties, wherein the program instructions are further configured to cause the one or more processors to: display one or more electrical design properties . 如請求項1之用於基於電設計性質而自動地分類一或多個缺陷之系統,其中該等程式指令進一步經組態以致使該一或多個處理器: 接收該所顯示一或多個電設計性質之一選擇。The system of claim 1 for automatically classifying one or more defects based on electrical design properties, wherein the program instructions are further configured to cause the one or more processors to: receive the one or more displayed One of the choices of electrical design properties. 如請求項1之用於基於電設計性質而自動地分類一或多個缺陷之系統,其中該等程式指令進一步經組態以致使該一或多個處理器: 儲存該標註受關注圖案。A system for claim 1 for automatically classifying one or more defects based on electrical design properties, wherein the program instructions are further configured to cause the one or more processors to: store the annotated pattern of interest. 如請求項1之用於基於電設計性質而自動地分類一或多個缺陷之系統,其中該等程式指令進一步經組態以致使該一或多個處理器: 儲存該受關注圖案之該標註一或多個重複。The system of claim 1 for automatically classifying one or more defects based on electrical design properties, wherein the program instructions are further configured to cause the one or more processors to: store the annotation of the pattern of interest One or more repetitions. 一種用於使用用於缺陷分類之電設計性質來標註一或多組設計資料的系統,其包括: 一使用者介面,其中該使用者介面包含一顯示器及一使用者輸入裝置;及 一控制器,其包含經組態以執行儲存於記憶體中之一組程式指令的一或多個處理器,其中該等程式指令經組態以致使該一或多個處理器: 接收一或多組設計資料,其中一組設計資料包含一或多個層,其中一層包含一或多組形狀; 自該使用者輸入裝置接收該一或多組設計資料中之一受關注圖案之一選擇,其中該受關注圖案由一或多個形狀表示;及 使用與該所選受關注圖案相關聯之一或多個電設計性質來標註該一或多組設計資料中之該受關注圖案。A system for labeling one or more sets of design data using electrical design properties for defect classification, comprising: a user interface, wherein the user interface includes a display and a user input device; and a controller Requiring one or more processors configured to execute a set of program instructions stored in a memory, wherein the program instructions are configured to cause the one or more processors to: receive one or more sets of designs Data, wherein a set of design data includes one or more layers, wherein one layer comprises one or more sets of shapes; receiving, from the user input device, one of the one or more sets of design materials, one of the patterns of interest, wherein the The attention pattern is represented by one or more shapes; and the one of the one or more sets of design materials is labeled with one or more electrical design properties associated with the selected pattern of interest. 如請求項14之用於標註一或多組設計資料之系統,其中該等程式指令進一步經組態以致使該一或多個處理器: 實施一圖案搜尋功能,其中該圖案搜尋功能使用該一或多個電設計性質來標註該受關注圖案之一或多個重複。A system for claiming one or more sets of design data, wherein the program instructions are further configured to cause the one or more processors to: implement a pattern search function, wherein the pattern search function uses the one Or multiple electrical design properties to mark one or more repetitions of the pattern of interest. 如請求項14之用於標註一或多組設計資料之系統,其中該等程式指令進一步經組態以致使該一或多個處理器: 將該一或多組設計資料顯示於該使用者介面之該顯示器上。A system for claiming one or more sets of design data, wherein the program instructions are further configured to cause the one or more processors to: display the one or more sets of design data to the user interface On the display. 如請求項14之用於標註一或多組設計資料之系統,其中該等程式指令進一步經組態以致使該一或多個處理器: 顯示一或多個電設計性質。A system for claiming one or more sets of design data, wherein the program instructions are further configured to cause the one or more processors to: display one or more electrical design properties. 如請求項14之用於標註一或多組設計資料之系統,其中該等程式指令進一步經組態以致使該一或多個處理器: 接收該所顯示一或多個電設計性質之一選擇。A system for claiming one or more sets of design data, wherein the program instructions are further configured to cause the one or more processors to: receive one of the displayed one or more electrical design properties . 如請求項14之用於標註一或多組設計資料之系統,其中該所顯示一或多個電設計性質經儲存於記憶體中。A system for claiming one or more sets of design data, wherein the one or more electrical design properties are stored in a memory. 如請求項14之用於標註一或多組設計資料之系統,其中該所顯示一或多個電設計性質係自一使用者接收。A system for claiming one or more sets of design data, wherein the one or more electrical design properties are received from a user. 如請求項14之用於標註一或多組設計資料之系統,其中該一或多個電設計性質包含一缺陷類型特性、一設計次特性及對該設計之一重要等級之至少一者。A system for claiming one or more sets of design data, wherein the one or more electrical design properties comprise at least one of a defect type characteristic, a design secondary characteristic, and an important level to the design. 如請求項14之用於標註一或多組設計資料之系統,其中該等程式指令進一步經組態以致使該一或多個處理器: 儲存該標註受關注圖案。A system for claiming one or more sets of design data, wherein the program instructions are further configured to cause the one or more processors to: store the annotated pattern of interest. 如請求項14之用於標註一或多組設計資料之系統,其中該等程式指令進一步經組態以致使該一或多個處理器: 儲存該受關注圖案之該標註一或多個重複。A system for claiming one or more sets of design data, wherein the program instructions are further configured to cause the one or more processors to: store the one or more iterations of the annotation of the pattern of interest. 一種用於基於電設計性質而自動地分類一或多個缺陷之方法,其包括: 接收一樣品之一所選區域之一或多個影像; 接收與該樣品之該所選區域相關聯之一或多組設計資料,其中該一或多組設計資料對應於該樣品之該所選區域,其中一組設計資料包含一或多個層,其中一層包含一或多組形狀; 藉由比較該樣品之該所選區域之該一或多個影像與該一或多組設計資料而定位該樣品之該所選區域之該一或多個影像中的一或多個缺陷; 自對應於該一或多個缺陷之該一或多組設計資料擷取一或多個受關注圖案,其中該受關注圖案由一或多個形狀表示,其中該一或多個受關注圖案包含一或多個標註電設計性質;且 基於該一或多個標註電設計性質而分類該樣品之該所選區域之該一或多個影像中的該一或多個缺陷。A method for automatically classifying one or more defects based on electrical design properties, comprising: receiving one or more images of a selected region of a sample; receiving one of the selected regions associated with the sample Or a plurality of sets of design data, wherein the one or more sets of design data correspond to the selected area of the sample, wherein a set of design data comprises one or more layers, wherein one layer comprises one or more sets of shapes; by comparing the samples The one or more images of the selected area and the one or more sets of design data to locate one or more defects in the one or more images of the selected area of the sample; The one or more sets of design data of the plurality of defects are taken from one or more patterns of interest, wherein the pattern of interest is represented by one or more shapes, wherein the one or more patterns of interest comprise one or more labels Designing properties; and classifying the one or more defects in the one or more images of the selected region of the sample based on the one or more labeled electrical design properties. 如請求項24之用於基於電設計性質而自動地分類一或多個缺陷之方法,其進一步包括: 顯示該經分類一或多個缺陷。A method of claim 24 for automatically classifying one or more defects based on electrical design properties, further comprising: displaying the classified one or more defects. 如請求項24之用於自動地分類一或多個缺陷之方法,其進一步包括: 接收一或多組設計資料,其中一組設計資料包含一或多個層,其中一層包含一或多組形狀; 自該使用者輸入裝置接收該一或多組設計資料中之一受關注圖案之一選擇,其中該受關注圖案由一或多個形狀表示;及 使用與該所選受關注圖案相關聯之一或多個電設計性質來標註該一或多組設計資料中之該受關注圖案。The method of claim 24 for automatically classifying one or more defects, further comprising: receiving one or more sets of design materials, wherein the set of design materials comprises one or more layers, one of the layers comprising one or more sets of shapes Receiving, from the user input device, one of the one or more sets of design materials selected by the one of the patterns of interest, wherein the pattern of interest is represented by one or more shapes; and using a pattern associated with the selected pattern of interest One or more electrical design properties to mark the pattern of interest in the one or more sets of design materials. 如請求項24之用於自動地分類一或多個缺陷之方法,其進一步包括: 實施一圖案搜尋功能,其中該圖案搜尋功能使用該一或多個電設計性質來標註該受關注圖案之一或多個重複。A method for automatically classifying one or more defects, as claimed in claim 24, further comprising: implementing a pattern search function, wherein the pattern search function uses the one or more electrical design properties to mark one of the patterns of interest Or multiple repetitions. 如請求項24之用於自動地分類一或多個缺陷之方法,其進一步包括: 將該一或多組設計資料顯示於該使用者介面之該顯示器上。The method of claim 24 for automatically classifying one or more defects, further comprising: displaying the one or more sets of design data on the display of the user interface. 如請求項24之用於自動地分類一或多個缺陷之方法,其進一步包括: 顯示一或多個電設計性質。A method for automatically classifying one or more defects, as in claim 24, further comprising: displaying one or more electrical design properties. 如請求項24之用於自動地分類一或多個缺陷之方法,其進一步包括: 接收該所顯示一或多個電設計性質之一選擇。The method of claim 24 for automatically classifying one or more defects, further comprising: receiving one of the displayed one or more electrical design properties. 如請求項24之用於自動地分類一或多個缺陷之方法,其進一步包括: 儲存該標註受關注圖案。A method for automatically classifying one or more defects, as in claim 24, further comprising: storing the annotated pattern of interest. 如請求項24之用於自動地分類一或多個缺陷之方法,其進一步包括: 儲存該受關注圖案之該標註一或多個重複。A method for automatically classifying one or more defects, as in claim 24, further comprising: storing the one or more iterations of the annotation of the pattern of interest. 一種用於使用用於缺陷分類之電設計性質來標註一或多組設計資料的方法,其包括: 接收一或多組設計資料,其中一組設計資料包含一或多個層,其中一層包含一或多組形狀; 自該使用者輸入裝置接收該一或多組設計資料中之一受關注圖案之一選擇,其中該受關注圖案由一或多個形狀表示;及 使用與該所選受關注圖案相關聯之一或多個電設計性質來標註該一或多組設計資料中之該受關注圖案。A method for labeling one or more sets of design materials using electrical design properties for defect classification, comprising: receiving one or more sets of design materials, wherein a set of design materials includes one or more layers, one of which includes a Or a plurality of sets of shapes; receiving, by the user input device, one of the one or more sets of design materials selected by the one of the patterns of interest, wherein the pattern of interest is represented by one or more shapes; and using the selected The pattern is associated with one or more electrical design properties to mark the pattern of interest in the one or more sets of design materials. 如請求項33之用於使用電設計性質來標註一或多組設計資料的方法,其包括: 實施一圖案搜尋功能,其中該圖案搜尋功能使用該一或多個電設計性質來標註該受關注圖案之一或多個重複。A method for claiming one or more sets of design data using electrical design properties, as in claim 33, comprising: implementing a pattern search function, wherein the pattern search function uses the one or more electrical design properties to mark the attention One or more of the patterns are repeated. 如請求項33之用於使用電設計性質來標註一或多組設計資料的方法,其進一步包括: 將該一或多組設計資料顯示於該使用者介面之該顯示器上。The method of claim 33 for labeling one or more sets of design data using electrical design properties, further comprising: displaying the one or more sets of design data on the display of the user interface. 如請求項33之用於使用電設計性質來標註一或多組設計資料的方法,其進一步包括: 顯示與該所選受關注圖案相關聯之一或多個電設計性質。A method for claiming one or more sets of design materials using electrical design properties, as in claim 33, further comprising: displaying one or more electrical design properties associated with the selected pattern of interest. 如請求項33之用於使用電設計性質來標註一或多組設計資料的方法,其進一步包括: 接收與該所選受關注圖案相關聯之該所顯示一或多個電設計性質之一選擇。The method of claim 33 for labeling one or more sets of design materials using electrical design properties, further comprising: receiving one of the displayed one or more electrical design properties associated with the selected pattern of interest . 如請求項33之用於使用電設計性質來標註一或多組設計資料的方法,其進一步包括: 儲存該標註受關注圖案。A method for claiming one or more sets of design materials using electrical design properties, as in claim 33, further comprising: storing the annotated pattern of interest. 如請求項33之用於使用電設計性質來標註一或多組設計資料的方法,其進一步包括: 儲存該受關注圖案之該標註一或多個重複。The method of claim 33 for labeling one or more sets of design materials using electrical design properties, further comprising: storing the one or more iterations of the annotation of the pattern of interest.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111542915A (en) * 2018-01-05 2020-08-14 科磊股份有限公司 Defect exploration using electron beam inspection and deep learning with real-time information to reduce nuisance

Family Cites Families (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6621570B1 (en) * 1999-03-04 2003-09-16 Inspex Incorporated Method and apparatus for inspecting a patterned semiconductor wafer
JP2001168160A (en) * 1999-12-07 2001-06-22 Sony Corp System for inspecting semiconductor wafer
US8532949B2 (en) * 2004-10-12 2013-09-10 Kla-Tencor Technologies Corp. Computer-implemented methods and systems for classifying defects on a specimen
US7676077B2 (en) * 2005-11-18 2010-03-09 Kla-Tencor Technologies Corp. Methods and systems for utilizing design data in combination with inspection data
CN102089616B (en) * 2008-06-03 2013-03-13 焕·J·郑 Interferometric defect detection and classification
US8079005B2 (en) 2008-09-30 2011-12-13 Cadence Design Systems, Inc. Method and system for performing pattern classification of patterns in integrated circuit designs
JP5715873B2 (en) * 2011-04-20 2015-05-13 株式会社日立ハイテクノロジーズ Defect classification method and defect classification system
JP5719760B2 (en) * 2011-12-28 2015-05-20 株式会社日立ハイテクノロジーズ Defect classification device
WO2013140302A1 (en) * 2012-03-19 2013-09-26 Kla-Tencor Corporation Method, computer system and apparatus for recipe generation for automated inspection semiconductor devices
US10043264B2 (en) * 2012-04-19 2018-08-07 Applied Materials Israel Ltd. Integration of automatic and manual defect classification
US10114368B2 (en) 2013-07-22 2018-10-30 Applied Materials Israel Ltd. Closed-loop automatic defect inspection and classification
US9293298B2 (en) * 2013-12-23 2016-03-22 Kla-Tencor Corp. Defect discovery and inspection sensitivity optimization using automated classification of corresponding electron beam images

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111542915A (en) * 2018-01-05 2020-08-14 科磊股份有限公司 Defect exploration using electron beam inspection and deep learning with real-time information to reduce nuisance
TWI769361B (en) * 2018-01-05 2022-07-01 美商克萊譚克公司 Defect discovery using electron beam inspection and deep learning with real-time intelligence to reduce nuisance
CN111542915B (en) * 2018-01-05 2024-01-09 科磊股份有限公司 Deep learning with real-time intelligence using electron beam inspection to reduce nuisance defect exploration

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