CN117001534A - 以机器视觉作为对cmp工艺控制算法的输入 - Google Patents
以机器视觉作为对cmp工艺控制算法的输入 Download PDFInfo
- Publication number
- CN117001534A CN117001534A CN202310816202.2A CN202310816202A CN117001534A CN 117001534 A CN117001534 A CN 117001534A CN 202310816202 A CN202310816202 A CN 202310816202A CN 117001534 A CN117001534 A CN 117001534A
- Authority
- CN
- China
- Prior art keywords
- substrate
- measurement point
- monitoring system
- image
- polishing
- 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.)
- Pending
Links
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B24—GRINDING; POLISHING
- B24B—MACHINES, DEVICES, OR PROCESSES FOR GRINDING OR POLISHING; DRESSING OR CONDITIONING OF ABRADING SURFACES; FEEDING OF GRINDING, POLISHING, OR LAPPING AGENTS
- B24B37/00—Lapping machines or devices; Accessories
- B24B37/005—Control means for lapping machines or devices
- B24B37/013—Devices or means for detecting lapping completion
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B24—GRINDING; POLISHING
- B24B—MACHINES, DEVICES, OR PROCESSES FOR GRINDING OR POLISHING; DRESSING OR CONDITIONING OF ABRADING SURFACES; FEEDING OF GRINDING, POLISHING, OR LAPPING AGENTS
- B24B37/00—Lapping machines or devices; Accessories
- B24B37/005—Control means for lapping machines or devices
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B24—GRINDING; POLISHING
- B24B—MACHINES, DEVICES, OR PROCESSES FOR GRINDING OR POLISHING; DRESSING OR CONDITIONING OF ABRADING SURFACES; FEEDING OF GRINDING, POLISHING, OR LAPPING AGENTS
- B24B49/00—Measuring or gauging equipment for controlling the feed movement of the grinding tool or work; Arrangements of indicating or measuring equipment, e.g. for indicating the start of the grinding operation
- B24B49/02—Measuring or gauging equipment for controlling the feed movement of the grinding tool or work; Arrangements of indicating or measuring equipment, e.g. for indicating the start of the grinding operation according to the instantaneous size and required size of the workpiece acted upon, the measuring or gauging being continuous or intermittent
- B24B49/04—Measuring or gauging equipment for controlling the feed movement of the grinding tool or work; Arrangements of indicating or measuring equipment, e.g. for indicating the start of the grinding operation according to the instantaneous size and required size of the workpiece acted upon, the measuring or gauging being continuous or intermittent involving measurement of the workpiece at the place of grinding during grinding operation
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B24—GRINDING; POLISHING
- B24B—MACHINES, DEVICES, OR PROCESSES FOR GRINDING OR POLISHING; DRESSING OR CONDITIONING OF ABRADING SURFACES; FEEDING OF GRINDING, POLISHING, OR LAPPING AGENTS
- B24B49/00—Measuring or gauging equipment for controlling the feed movement of the grinding tool or work; Arrangements of indicating or measuring equipment, e.g. for indicating the start of the grinding operation
- B24B49/12—Measuring or gauging equipment for controlling the feed movement of the grinding tool or work; Arrangements of indicating or measuring equipment, e.g. for indicating the start of the grinding operation involving optical 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
- G06N3/04—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
- G06N3/08—Learning methods
- G06N3/09—Supervised learning
-
- 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
- G06N3/096—Transfer learning
-
- 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
- H10P52/00—Grinding, lapping or polishing of wafers, substrates or parts of devices
-
- 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
- H10P72/00—Handling or holding of wafers, substrates or devices during manufacture or treatment thereof
-
- 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
- H10P72/00—Handling or holding of wafers, substrates or devices during manufacture or treatment thereof
- H10P72/04—Apparatus for manufacture or treatment
- H10P72/0428—Apparatus for mechanical treatment or grinding or cutting
-
- 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
- H10P72/00—Handling or holding of wafers, substrates or devices during manufacture or treatment thereof
- H10P72/06—Apparatus for monitoring, sorting, marking, testing or measuring
-
- 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
- G06N3/048—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
- G06N3/084—Backpropagation, e.g. using gradient descent
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Mechanical Engineering (AREA)
- General Health & Medical Sciences (AREA)
- General Engineering & Computer Science (AREA)
- Biophysics (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- Evolutionary Computation (AREA)
- Artificial Intelligence (AREA)
- Molecular Biology (AREA)
- Computing Systems (AREA)
- Biomedical Technology (AREA)
- General Physics & Mathematics (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Mechanical Treatment Of Semiconductor (AREA)
- Constituent Portions Of Griding Lathes, Driving, Sensing And Control (AREA)
- Finish Polishing, Edge Sharpening, And Grinding By Specific Grinding Devices (AREA)
Applications Claiming Priority (4)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201862735772P | 2018-09-24 | 2018-09-24 | |
| US62/735,772 | 2018-09-24 | ||
| PCT/US2019/048636 WO2020068345A1 (en) | 2018-09-24 | 2019-08-28 | Machine vision as input to a cmp process control algorithm |
| CN201980066820.1A CN112823080B (zh) | 2018-09-24 | 2019-08-28 | 以机器视觉作为对cmp工艺控制算法的输入 |
Related Parent Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201980066820.1A Division CN112823080B (zh) | 2018-09-24 | 2019-08-28 | 以机器视觉作为对cmp工艺控制算法的输入 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117001534A true CN117001534A (zh) | 2023-11-07 |
Family
ID=69883039
Family Applications (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310816202.2A Pending CN117001534A (zh) | 2018-09-24 | 2019-08-28 | 以机器视觉作为对cmp工艺控制算法的输入 |
| CN201980066820.1A Active CN112823080B (zh) | 2018-09-24 | 2019-08-28 | 以机器视觉作为对cmp工艺控制算法的输入 |
Family Applications After (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201980066820.1A Active CN112823080B (zh) | 2018-09-24 | 2019-08-28 | 以机器视觉作为对cmp工艺控制算法的输入 |
Country Status (6)
| Country | Link |
|---|---|
| US (3) | US11577356B2 (enExample) |
| JP (1) | JP7472111B2 (enExample) |
| KR (2) | KR20250076661A (enExample) |
| CN (2) | CN117001534A (enExample) |
| TW (1) | TWI848004B (enExample) |
| WO (1) | WO2020068345A1 (enExample) |
Families Citing this family (23)
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| JP7472111B2 (ja) | 2018-09-24 | 2024-04-22 | アプライド マテリアルズ インコーポレイテッド | Cmpプロセス制御アルゴリズムへの入力としてのマシンビジョン |
| JP7570004B2 (ja) * | 2019-02-19 | 2024-10-21 | パナソニックIpマネジメント株式会社 | 研磨加工システム、学習装置、学習装置の学習方法 |
| US11602821B2 (en) * | 2020-01-17 | 2023-03-14 | Taiwan Semiconductor Manufacturing Company Ltd. | Wafer polishing head, system thereof, and method using the same |
| CN111523645B (zh) * | 2020-04-16 | 2023-04-18 | 北京航天自动控制研究所 | 一种提升小尺度目标检测识别性能的卷积神经网络设计方法 |
| CN115135450B (zh) * | 2020-05-14 | 2024-07-09 | 应用材料公司 | 训练神经网络用于抛光期间的原位监测的技术和抛光系统 |
| WO2022005916A1 (en) | 2020-06-29 | 2022-01-06 | Applied Materials, Inc. | Film thickness estimation from machine learning based processing of substrate images |
| CN112102268A (zh) * | 2020-09-01 | 2020-12-18 | 北京航空航天大学 | 一种基于机器学习打磨超薄掩膜版的智能化激光抛光模块 |
| JP7507639B2 (ja) * | 2020-09-02 | 2024-06-28 | 東京エレクトロン株式会社 | 基板処理システム及び状態監視方法 |
| KR102805914B1 (ko) * | 2020-12-18 | 2025-05-14 | 어플라이드 머티어리얼스, 인코포레이티드 | 적응형 슬러리 분배 시스템 |
| US12504364B2 (en) * | 2021-03-03 | 2025-12-23 | Applied Materials, Inc. | In-situ monitoring to label training spectra for machine learning system for spectrographic monitoring |
| JP7547275B2 (ja) * | 2021-03-31 | 2024-09-09 | 株式会社荏原製作所 | ワークピースの膜厚を推定するモデルを作成する方法、そのようなモデルを用いてワークピースの研磨中に膜厚を推定する方法、およびコンピュータにこれらの方法を実行させるためのプログラム |
| KR102545754B1 (ko) * | 2021-05-27 | 2023-06-20 | 세메스 주식회사 | 기판 처리 장치 및 기판 상태 검출 방법 |
| KR20230080216A (ko) | 2021-11-29 | 2023-06-07 | 삼성전자주식회사 | 웨이퍼 연마 장치 및 상기 웨이퍼 연마 장치가 포함하는 리테이너 링의 결함 검출 방법 |
| CN114211397B (zh) * | 2021-12-14 | 2023-11-17 | 常州先进制造技术研究所 | 一种纸质结构件表面打磨控制方法 |
| TWI800195B (zh) * | 2021-12-30 | 2023-04-21 | 大量科技股份有限公司 | 用於拋光墊表面之量測訊號的智慧分析系統、方法及其電腦程式產品 |
| JP7783755B2 (ja) * | 2022-02-09 | 2025-12-10 | 株式会社Screenホールディングス | 基板処理装置および監視方法 |
| CN114918817B (zh) * | 2022-05-27 | 2024-09-13 | 河南科技学院 | 一种Roll-to-Roll化学机械抛光装置及方法 |
| JP7878989B2 (ja) * | 2022-09-26 | 2026-06-23 | 株式会社Screenホールディングス | 学習装置、情報処理装置、基板処理装置、基板処理システム、学習方法および処理条件決定方法 |
| CN116214369A (zh) * | 2022-12-19 | 2023-06-06 | 浙江工业大学 | 一种基于图像的高硬脆材料研磨状态在线监测装置及方法 |
| US20240316724A1 (en) * | 2023-03-21 | 2024-09-26 | Taiwan Semiconductor Manufacturing Company, Ltd. | Multi-pattern in-pad surface for polish rate control |
| US12576475B2 (en) * | 2023-04-25 | 2026-03-17 | Applied Materials, Inc. | Determining the orientation of a substrate in-situ |
| US20250262709A1 (en) * | 2024-02-15 | 2025-08-21 | Applied Materials, Inc. | Method and apparatus for substrate notch sensing on cmp head for local planarization |
| WO2026049750A1 (en) * | 2024-08-30 | 2026-03-05 | Applied Materials, Inc. | In-situ monitoring system with substrate held by carrier in chemical mechanical polishing |
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| US20180150052A1 (en) * | 2016-11-30 | 2018-05-31 | Applied Materials, Inc. | Spectrographic monitoring using a neural network |
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| JP7472111B2 (ja) | 2018-09-24 | 2024-04-22 | アプライド マテリアルズ インコーポレイテッド | Cmpプロセス制御アルゴリズムへの入力としてのマシンビジョン |
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2019
- 2019-08-28 JP JP2021515551A patent/JP7472111B2/ja active Active
- 2019-08-28 CN CN202310816202.2A patent/CN117001534A/zh active Pending
- 2019-08-28 US US16/554,427 patent/US11577356B2/en active Active
- 2019-08-28 KR KR1020257015520A patent/KR20250076661A/ko active Pending
- 2019-08-28 WO PCT/US2019/048636 patent/WO2020068345A1/en not_active Ceased
- 2019-08-28 KR KR1020217011806A patent/KR102808528B1/ko active Active
- 2019-08-28 CN CN201980066820.1A patent/CN112823080B/zh active Active
- 2019-09-18 TW TW108133507A patent/TWI848004B/zh active
-
2023
- 2023-02-02 US US18/163,835 patent/US12257665B2/en active Active
-
2025
- 2025-02-10 US US19/049,741 patent/US20250187135A1/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
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| JP2000233369A (ja) * | 1999-02-15 | 2000-08-29 | Noritake Co Ltd | 研削状態監視装置およびドレッシング状態監視装置 |
| KR20140140598A (ko) * | 2005-08-22 | 2014-12-09 | 어플라이드 머티어리얼스, 인코포레이티드 | 화학적 기계적 폴리싱의 스펙트럼 기반 모니터링을 위한 장치 및 방법 |
| JP2010067918A (ja) * | 2008-09-12 | 2010-03-25 | Tokyo Seimitsu Co Ltd | 研磨終了予測・検出方法とその装置 |
| CN108292613A (zh) * | 2015-11-16 | 2018-07-17 | 应用材料公司 | 用于cmp监控的彩色成像 |
| US20180079048A1 (en) * | 2016-09-16 | 2018-03-22 | Applied Materials, Inc. | Overpolishing based on electromagnetic inductive monitoring of trench depth |
| US20180150052A1 (en) * | 2016-11-30 | 2018-05-31 | Applied Materials, Inc. | Spectrographic monitoring using a neural network |
Also Published As
| Publication number | Publication date |
|---|---|
| US20200094370A1 (en) | 2020-03-26 |
| JP2022501207A (ja) | 2022-01-06 |
| WO2020068345A1 (en) | 2020-04-02 |
| US20250187135A1 (en) | 2025-06-12 |
| US12257665B2 (en) | 2025-03-25 |
| TW202513224A (zh) | 2025-04-01 |
| KR20250076661A (ko) | 2025-05-29 |
| US11577356B2 (en) | 2023-02-14 |
| TWI848004B (zh) | 2024-07-11 |
| JP7472111B2 (ja) | 2024-04-22 |
| CN112823080B (zh) | 2023-07-14 |
| US20230182258A1 (en) | 2023-06-15 |
| KR102808528B1 (ko) | 2025-05-16 |
| CN112823080A (zh) | 2021-05-18 |
| KR20210052559A (ko) | 2021-05-10 |
| TW202027908A (zh) | 2020-08-01 |
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