JP7395566B2 - 検査方法 - Google Patents

検査方法 Download PDF

Info

Publication number
JP7395566B2
JP7395566B2 JP2021510577A JP2021510577A JP7395566B2 JP 7395566 B2 JP7395566 B2 JP 7395566B2 JP 2021510577 A JP2021510577 A JP 2021510577A JP 2021510577 A JP2021510577 A JP 2021510577A JP 7395566 B2 JP7395566 B2 JP 7395566B2
Authority
JP
Japan
Prior art keywords
transistor
wiring
oxide
insulator
conductor
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
JP2021510577A
Other languages
English (en)
Japanese (ja)
Other versions
JPWO2020201880A5 (ja
JPWO2020201880A1 (enExample
Inventor
宏充 郷戸
健太郎 林
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Semiconductor Energy Laboratory Co Ltd
Original Assignee
Semiconductor Energy Laboratory Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Semiconductor Energy Laboratory Co Ltd filed Critical Semiconductor Energy Laboratory Co Ltd
Publication of JPWO2020201880A1 publication Critical patent/JPWO2020201880A1/ja
Publication of JPWO2020201880A5 publication Critical patent/JPWO2020201880A5/ja
Application granted granted Critical
Publication of JP7395566B2 publication Critical patent/JP7395566B2/ja
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0004—Industrial image inspection
    • G06T7/001—Industrial image inspection using an image reference approach
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/70—Determining position or orientation of objects or cameras
    • G06T7/73—Determining position or orientation of objects or cameras using feature-based methods
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G06N3/0455—Auto-encoder networks; Encoder-decoder networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/0464—Convolutional networks [CNN, ConvNet]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/0475—Generative networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • G06N3/063—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/09—Supervised learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/20—Image enhancement or restoration using local operators
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/50—Image enhancement or restoration using two or more images, e.g. averaging or subtraction
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/70—Denoising; Smoothing
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01J—ELECTRIC DISCHARGE TUBES OR DISCHARGE LAMPS
    • H01J37/00—Discharge tubes with provision for introducing objects or material to be exposed to the discharge, e.g. for the purpose of examination or processing thereof
    • H01J37/02—Details
    • H01J37/22—Optical, image processing or photographic arrangements associated with the tube
    • H—ELECTRICITY
    • H10—SEMICONDUCTOR DEVICES; ELECTRIC SOLID-STATE DEVICES NOT OTHERWISE PROVIDED FOR
    • H10P—GENERIC PROCESSES OR APPARATUS FOR THE MANUFACTURE OR TREATMENT OF DEVICES COVERED BY CLASS H10
    • H10P95/00—Generic processes or apparatus for manufacture or treatments not covered by the other groups of this subclass
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/048—Activation functions
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10056—Microscopic image
    • G06T2207/10061—Microscopic image from scanning electron microscope
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10072—Tomographic images
    • G06T2207/10081—Computed x-ray tomography [CT]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20081—Training; Learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20084—Artificial neural networks [ANN]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20212—Image combination
    • G06T2207/20224—Image subtraction
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30108—Industrial image inspection
    • G06T2207/30148—Semiconductor; IC; Wafer

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Computing Systems (AREA)
  • Artificial Intelligence (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Computational Linguistics (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Evolutionary Computation (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Neurology (AREA)
  • Quality & Reliability (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Testing Or Measuring Of Semiconductors Or The Like (AREA)
  • Image Analysis (AREA)
  • Analysing Materials By The Use Of Radiation (AREA)
JP2021510577A 2019-04-02 2020-03-20 検査方法 Active JP7395566B2 (ja)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
JP2019070529 2019-04-02
JP2019070529 2019-04-02
PCT/IB2020/052564 WO2020201880A1 (ja) 2019-04-02 2020-03-20 検査装置及び検査方法

Publications (3)

Publication Number Publication Date
JPWO2020201880A1 JPWO2020201880A1 (enExample) 2020-10-08
JPWO2020201880A5 JPWO2020201880A5 (ja) 2023-03-10
JP7395566B2 true JP7395566B2 (ja) 2023-12-11

Family

ID=72666585

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2021510577A Active JP7395566B2 (ja) 2019-04-02 2020-03-20 検査方法

Country Status (3)

Country Link
US (2) US20220138983A1 (enExample)
JP (1) JP7395566B2 (enExample)
WO (1) WO2020201880A1 (enExample)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2021152416A1 (ja) 2020-01-31 2021-08-05 株式会社半導体エネルギー研究所 学習データ生成装置、不良識別システム
US12148181B2 (en) * 2020-08-28 2024-11-19 Canon Kabushiki Kaisha Measurement apparatus that measures position information of measurement target in predetermined direction
JP2024110453A (ja) * 2023-02-03 2024-08-16 株式会社Screenホールディングス 検査装置および検査方法
KR20250109902A (ko) * 2024-01-11 2025-07-18 삼성전자주식회사 스마트 스토리지 장치, 이를 포함하는 컴퓨팅 시스템, 및 그 동작 방법

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2010038859A1 (ja) 2008-10-03 2010-04-08 株式会社 日立ハイテクノロジーズ パターンマッチング方法、及び画像処理装置
JP2016219011A (ja) 2015-05-21 2016-12-22 株式会社半導体エネルギー研究所 電子装置
WO2018173478A1 (ja) 2017-03-23 2018-09-27 日本電気株式会社 学習装置、学習方法および学習プログラム
WO2018211891A1 (ja) 2017-05-18 2018-11-22 住友電気工業株式会社 異変検出装置及び異変検出方法

Family Cites Families (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7817844B2 (en) * 1999-08-26 2010-10-19 Nanogeometry Research Inc. Pattern inspection apparatus and method
US7570797B1 (en) * 2005-05-10 2009-08-04 Kla-Tencor Technologies Corp. Methods and systems for generating an inspection process for an inspection system
KR102108572B1 (ko) * 2011-09-26 2020-05-07 가부시키가이샤 한도오따이 에네루기 켄큐쇼 반도체 장치 및 반도체 장치의 제작 방법
JP5941782B2 (ja) * 2012-07-27 2016-06-29 株式会社日立ハイテクノロジーズ マッチング処理装置、マッチング処理方法、及びそれを用いた検査装置
US20150103181A1 (en) * 2013-10-16 2015-04-16 Checkpoint Technologies Llc Auto-flat field for image acquisition
US10402688B2 (en) * 2016-12-07 2019-09-03 Kla-Tencor Corporation Data augmentation for convolutional neural network-based defect inspection
US10565702B2 (en) * 2017-01-30 2020-02-18 Dongfang Jingyuan Electron Limited Dynamic updates for the inspection of integrated circuits
JP2019061577A (ja) * 2017-09-27 2019-04-18 パナソニックIpマネジメント株式会社 異常判定方法及びプログラム

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2010038859A1 (ja) 2008-10-03 2010-04-08 株式会社 日立ハイテクノロジーズ パターンマッチング方法、及び画像処理装置
JP2016219011A (ja) 2015-05-21 2016-12-22 株式会社半導体エネルギー研究所 電子装置
WO2018173478A1 (ja) 2017-03-23 2018-09-27 日本電気株式会社 学習装置、学習方法および学習プログラム
WO2018211891A1 (ja) 2017-05-18 2018-11-22 住友電気工業株式会社 異変検出装置及び異変検出方法

Also Published As

Publication number Publication date
WO2020201880A1 (ja) 2020-10-08
US20260162296A1 (en) 2026-06-11
US20220138983A1 (en) 2022-05-05
JPWO2020201880A1 (enExample) 2020-10-08

Similar Documents

Publication Publication Date Title
JP7615370B2 (ja) 半導体装置
JP7462575B2 (ja) 半導体装置
JP7804827B1 (ja) 演算回路
JP7639207B2 (ja) 半導体装置
TWI691972B (zh) 半導體裝置、中央處理裝置及電子裝置
JP7577671B2 (ja) 半導体装置
US10936410B2 (en) Memory system and information processing system
WO2020201880A1 (ja) 検査装置及び検査方法
JP7595057B2 (ja) 半導体装置、及び電子機器
JP7661571B2 (ja) 半導体装置および電子機器
KR20230039668A (ko) 반도체 장치 및 전자 기기
KR20230043924A (ko) 반도체 장치의 구동 방법
US12592714B2 (en) Apparatus comprising analog to digital converter semiconductor device
WO2022058838A1 (ja) 半導体装置、および電子機器
WO2022023866A1 (ja) 半導体装置
JP6690935B2 (ja) 半導体装置
US20240143441A1 (en) Operation method of semiconductor device
US20250078895A1 (en) Operation method of semiconductor device
CN120712570A (zh) 半导体装置及电子设备

Legal Events

Date Code Title Description
A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20230302

A621 Written request for application examination

Free format text: JAPANESE INTERMEDIATE CODE: A621

Effective date: 20230302

TRDD Decision of grant or rejection written
A01 Written decision to grant a patent or to grant a registration (utility model)

Free format text: JAPANESE INTERMEDIATE CODE: A01

Effective date: 20231107

A61 First payment of annual fees (during grant procedure)

Free format text: JAPANESE INTERMEDIATE CODE: A61

Effective date: 20231129

R150 Certificate of patent or registration of utility model

Ref document number: 7395566

Country of ref document: JP

Free format text: JAPANESE INTERMEDIATE CODE: R150