JP2021190716A5 - - Google Patents
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- JP2021190716A5 JP2021190716A5 JP2021093501A JP2021093501A JP2021190716A5 JP 2021190716 A5 JP2021190716 A5 JP 2021190716A5 JP 2021093501 A JP2021093501 A JP 2021093501A JP 2021093501 A JP2021093501 A JP 2021093501A JP 2021190716 A5 JP2021190716 A5 JP 2021190716A5
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Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US16/892,139 US11379972B2 (en) | 2020-06-03 | 2020-06-03 | Detecting defects in semiconductor specimens using weak labeling |
| US16/892,139 | 2020-06-03 |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JP2021190716A JP2021190716A (ja) | 2021-12-13 |
| JP2021190716A5 true JP2021190716A5 (https=) | 2024-06-10 |
| JP7633094B2 JP7633094B2 (ja) | 2025-02-19 |
Family
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2021093501A Active JP7633094B2 (ja) | 2020-06-03 | 2021-06-03 | 弱いラベル付けを使用した半導体試料内の欠陥の検出 |
Country Status (5)
| Country | Link |
|---|---|
| US (2) | US11379972B2 (https=) |
| JP (1) | JP7633094B2 (https=) |
| KR (1) | KR102749767B1 (https=) |
| CN (2) | CN118297906B (https=) |
| TW (1) | TWI864281B (https=) |
Families Citing this family (20)
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| US11816411B2 (en) * | 2020-01-29 | 2023-11-14 | Taiwan Semiconductor Manufacturing Co., Ltd. | Method and system for semiconductor wafer defect review |
| US11379972B2 (en) * | 2020-06-03 | 2022-07-05 | Applied Materials Israel Ltd. | Detecting defects in semiconductor specimens using weak labeling |
| US11493901B2 (en) * | 2020-09-24 | 2022-11-08 | International Business Machines Corporation | Detection of defect in edge device manufacturing by artificial intelligence |
| US20220101114A1 (en) * | 2020-09-27 | 2022-03-31 | Kla Corporation | Interpretable deep learning-based defect detection and classification |
| US12567233B2 (en) * | 2020-11-09 | 2026-03-03 | Canon U.S.A., Inc. | Using activation maps to detect best areas of an image for prediction of noise levels |
| US12462074B2 (en) * | 2021-01-22 | 2025-11-04 | Nvidia Corporation | Object simulation using real-world environments |
| US12430563B2 (en) * | 2021-07-29 | 2025-09-30 | GE Precision Healthcare LLC | Learning-based clean data selection |
| CN115706819B (zh) * | 2021-08-17 | 2024-12-31 | 鸿富锦精密工业(深圳)有限公司 | 网页视频播放方法、装置、电子设备及存储介质 |
| TWI767828B (zh) * | 2021-08-27 | 2022-06-11 | 開必拓數據股份有限公司 | 應用於具有卷對卷機構的設備的馬達控制系統 |
| US20240013365A9 (en) * | 2021-10-04 | 2024-01-11 | Kla Corporation | Unsupervised or self-supervised deep learning for semiconductor-based applications |
| TWI823159B (zh) * | 2021-10-20 | 2023-11-21 | 開必拓數據股份有限公司 | 具人機互動功能的瑕疵檢測系統 |
| US11789069B2 (en) * | 2021-12-03 | 2023-10-17 | International Business Machines Corporation | Mixed high-resolution and low-resolution inspection for tamper detection |
| CN115061427B (zh) * | 2022-06-28 | 2023-04-14 | 浙江同发塑机有限公司 | 吹塑机的料层均匀性控制系统及其控制方法 |
| KR20240028665A (ko) * | 2022-08-25 | 2024-03-05 | 한국전자통신연구원 | 딥러닝 서비스를 제공하기 위한 신경망 모델 배포 방법 및 장치 |
| JP2024082013A (ja) * | 2022-12-07 | 2024-06-19 | 株式会社Screenホールディングス | 画像処理装置、特徴抽出器の学習方法、識別器の更新方法、および画像処理方法 |
| KR20240096217A (ko) * | 2022-12-19 | 2024-06-26 | 삼성전자주식회사 | 제조 공정의 이상 여부를 판단하는 방법 및 장치 |
| CN116046810B (zh) * | 2023-04-03 | 2023-06-23 | 云南通衢工程检测有限公司 | 基于rpc盖板破坏荷载的无损检测方法 |
| WO2025011912A1 (en) * | 2023-07-13 | 2025-01-16 | Asml Netherlands B.V. | Systems and methods for defect inspection in charged-particle systems |
| KR102740270B1 (ko) * | 2023-10-19 | 2024-12-10 | 주식회사 에이아이비즈 | 웨이퍼맵의 패턴을 분류하기 위한 모델을 학습시키는 방법, 장치 및 프로그램 |
| US20250253121A1 (en) * | 2024-02-07 | 2025-08-07 | Kla Corporation | Systems and methods of sem inspection using selective scan approach |
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| JP3534582B2 (ja) * | 1997-10-02 | 2004-06-07 | 株式会社日立製作所 | パターン欠陥検査方法および検査装置 |
| US7570796B2 (en) * | 2005-11-18 | 2009-08-04 | Kla-Tencor Technologies Corp. | Methods and systems for utilizing design data in combination with inspection data |
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| US9518935B2 (en) * | 2013-07-29 | 2016-12-13 | Kla-Tencor Corporation | Monitoring changes in photomask defectivity |
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| US9846934B2 (en) * | 2015-04-13 | 2017-12-19 | Anchor Semiconductor Inc. | Pattern weakness and strength detection and tracking during a semiconductor device fabrication process |
| US9767548B2 (en) * | 2015-04-24 | 2017-09-19 | Kla-Tencor Corp. | Outlier detection on pattern of interest image populations |
| US10359371B2 (en) * | 2015-08-24 | 2019-07-23 | Kla-Tencor Corp. | Determining one or more characteristics of a pattern of interest on a specimen |
| TWI797699B (zh) * | 2015-12-22 | 2023-04-01 | 以色列商應用材料以色列公司 | 半導體試樣的基於深度學習之檢查的方法及其系統 |
| US9916965B2 (en) * | 2015-12-31 | 2018-03-13 | Kla-Tencor Corp. | Hybrid inspectors |
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| US11010886B2 (en) * | 2016-05-17 | 2021-05-18 | Kla-Tencor Corporation | Systems and methods for automatic correction of drift between inspection and design for massive pattern searching |
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| US10620135B2 (en) * | 2017-07-19 | 2020-04-14 | Kla-Tencor Corp. | Identifying a source of nuisance defects on a wafer |
| US9964607B1 (en) * | 2017-08-28 | 2018-05-08 | Seagate Technology Llc | Recognizing and identifying defect patterns on magnetic media |
| US10607119B2 (en) * | 2017-09-06 | 2020-03-31 | Kla-Tencor Corp. | Unified neural network for defect detection and classification |
| US11138507B2 (en) * | 2017-09-28 | 2021-10-05 | Applied Materials Israel Ltd. | System, method and computer program product for classifying a multiplicity of items |
| KR102611427B1 (ko) * | 2017-10-02 | 2023-12-07 | 어플라이드 머티리얼즈 이스라엘 리미티드 | 패턴의 임계 치수 변동의 결정 |
| CN110832596B (zh) * | 2017-10-16 | 2021-03-26 | 因美纳有限公司 | 基于深度学习的深度卷积神经网络训练方法 |
| KR20190073756A (ko) * | 2017-12-19 | 2019-06-27 | 삼성전자주식회사 | 반도체 결함 분류 장치, 반도체의 결함을 분류하는 방법, 그리고 반도체 결함 분류 시스템 |
| CN110945528B (zh) * | 2018-02-07 | 2021-04-02 | 应用材料以色列公司 | 产生可用于检查半导体样品的训练集的方法及其系统 |
| KR102549196B1 (ko) * | 2018-02-07 | 2023-06-30 | 어플라이드 머티리얼즈 이스라엘 리미티드 | 반도체 시편의 심층 학습 기반 검사 방법 및 그의 시스템 |
| US11199506B2 (en) * | 2018-02-21 | 2021-12-14 | Applied Materials Israel Ltd. | Generating a training set usable for examination of a semiconductor specimen |
| US10599951B2 (en) * | 2018-03-28 | 2020-03-24 | Kla-Tencor Corp. | Training a neural network for defect detection in low resolution images |
| WO2020043525A1 (en) * | 2018-08-28 | 2020-03-05 | Asml Netherlands B.V. | Systems and methods of optimal metrology guidance |
| US10825650B2 (en) * | 2018-09-28 | 2020-11-03 | Taiwan Semiconductor Manufacturing Co., Ltd. | Machine learning on wafer defect review |
| KR20240038156A (ko) * | 2018-12-31 | 2024-03-22 | 에이에스엠엘 네델란즈 비.브이. | E-빔 이미지 향상을 위한 완전 자동화 sem 샘플링 시스템 |
| US10957034B2 (en) * | 2019-01-17 | 2021-03-23 | Applied Materials Israel Ltd. | Method of examination of a specimen and system thereof |
| CN109978764B (zh) * | 2019-03-11 | 2021-03-02 | 厦门美图之家科技有限公司 | 一种图像处理方法及计算设备 |
| US11151710B1 (en) * | 2020-05-04 | 2021-10-19 | Applied Materials Israel Ltd. | Automatic selection of algorithmic modules for examination of a specimen |
| US11379972B2 (en) * | 2020-06-03 | 2022-07-05 | Applied Materials Israel Ltd. | Detecting defects in semiconductor specimens using weak labeling |
| US20220044949A1 (en) * | 2020-08-06 | 2022-02-10 | Carl Zeiss Smt Gmbh | Interactive and iterative training of a classification algorithm for classifying anomalies in imaging datasets |
-
2020
- 2020-06-03 US US16/892,139 patent/US11379972B2/en active Active
-
2021
- 2021-04-16 KR KR1020210049665A patent/KR102749767B1/ko active Active
- 2021-04-26 CN CN202410416642.3A patent/CN118297906B/zh active Active
- 2021-04-26 TW TW110114852A patent/TWI864281B/zh active
- 2021-04-26 CN CN202110455269.9A patent/CN113763312B/zh active Active
- 2021-06-03 JP JP2021093501A patent/JP7633094B2/ja active Active
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2022
- 2022-05-23 US US17/751,507 patent/US11790515B2/en active Active
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