KR102820933B1 - 기판 처리 장치의 제조 프로세스 판정 장치, 기판 처리 시스템, 기판 처리 장치의 제조 프로세스 판정 방법, 학습 모델군, 학습 모델군의 생성 방법 및 프로그램 - Google Patents
기판 처리 장치의 제조 프로세스 판정 장치, 기판 처리 시스템, 기판 처리 장치의 제조 프로세스 판정 방법, 학습 모델군, 학습 모델군의 생성 방법 및 프로그램 Download PDFInfo
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- KR102820933B1 KR102820933B1 KR1020217003991A KR20217003991A KR102820933B1 KR 102820933 B1 KR102820933 B1 KR 102820933B1 KR 1020217003991 A KR1020217003991 A KR 1020217003991A KR 20217003991 A KR20217003991 A KR 20217003991A KR 102820933 B1 KR102820933 B1 KR 102820933B1
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01L—SEMICONDUCTOR DEVICES NOT COVERED BY CLASS H10
- H01L22/00—Testing 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
- H01L22/20—Sequence of activities consisting of a plurality of measurements, corrections, marking or sorting steps
- H01L22/26—Acting in response to an ongoing measurement without interruption of processing, e.g. endpoint detection, in-situ thickness measurement
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
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- C—CHEMISTRY; METALLURGY
- C23—COATING METALLIC MATERIAL; COATING MATERIAL WITH METALLIC MATERIAL; CHEMICAL SURFACE TREATMENT; DIFFUSION TREATMENT OF METALLIC MATERIAL; COATING BY VACUUM EVAPORATION, BY SPUTTERING, BY ION IMPLANTATION OR BY CHEMICAL VAPOUR DEPOSITION, IN GENERAL; INHIBITING CORROSION OF METALLIC MATERIAL OR INCRUSTATION IN GENERAL
- C23C—COATING METALLIC MATERIAL; COATING MATERIAL WITH METALLIC MATERIAL; SURFACE TREATMENT OF METALLIC MATERIAL BY DIFFUSION INTO THE SURFACE, BY CHEMICAL CONVERSION OR SUBSTITUTION; COATING BY VACUUM EVAPORATION, BY SPUTTERING, BY ION IMPLANTATION OR BY CHEMICAL VAPOUR DEPOSITION, IN GENERAL
- C23C16/00—Chemical coating by decomposition of gaseous compounds, without leaving reaction products of surface material in the coating, i.e. chemical vapour deposition [CVD] processes
- C23C16/44—Chemical coating by decomposition of gaseous compounds, without leaving reaction products of surface material in the coating, i.e. chemical vapour deposition [CVD] processes characterised by the method of coating
- C23C16/50—Chemical coating by decomposition of gaseous compounds, without leaving reaction products of surface material in the coating, i.e. chemical vapour deposition [CVD] processes characterised by the method of coating using electric discharges
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- C—CHEMISTRY; METALLURGY
- C23—COATING METALLIC MATERIAL; COATING MATERIAL WITH METALLIC MATERIAL; CHEMICAL SURFACE TREATMENT; DIFFUSION TREATMENT OF METALLIC MATERIAL; COATING BY VACUUM EVAPORATION, BY SPUTTERING, BY ION IMPLANTATION OR BY CHEMICAL VAPOUR DEPOSITION, IN GENERAL; INHIBITING CORROSION OF METALLIC MATERIAL OR INCRUSTATION IN GENERAL
- C23C—COATING METALLIC MATERIAL; COATING MATERIAL WITH METALLIC MATERIAL; SURFACE TREATMENT OF METALLIC MATERIAL BY DIFFUSION INTO THE SURFACE, BY CHEMICAL CONVERSION OR SUBSTITUTION; COATING BY VACUUM EVAPORATION, BY SPUTTERING, BY ION IMPLANTATION OR BY CHEMICAL VAPOUR DEPOSITION, IN GENERAL
- C23C16/00—Chemical coating by decomposition of gaseous compounds, without leaving reaction products of surface material in the coating, i.e. chemical vapour deposition [CVD] processes
- C23C16/44—Chemical coating by decomposition of gaseous compounds, without leaving reaction products of surface material in the coating, i.e. chemical vapour deposition [CVD] processes characterised by the method of coating
- C23C16/52—Controlling or regulating the coating process
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
- G06N20/10—Machine learning using kernel methods, e.g. support vector machines [SVM]
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
- G06N20/20—Ensemble learning
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- 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
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- 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]
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- 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
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- 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
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01L—SEMICONDUCTOR DEVICES NOT COVERED BY CLASS H10
- H01L21/00—Processes or apparatus adapted for the manufacture or treatment of semiconductor or solid state devices or of parts thereof
- H01L21/67—Apparatus specially adapted for handling semiconductor or electric solid state devices during manufacture or treatment thereof; Apparatus specially adapted for handling wafers during manufacture or treatment of semiconductor or electric solid state devices or components ; Apparatus not specifically provided for elsewhere
- H01L21/67005—Apparatus not specifically provided for elsewhere
- H01L21/67011—Apparatus for manufacture or treatment
- H01L21/67017—Apparatus for fluid treatment
- H01L21/67063—Apparatus for fluid treatment for etching
- H01L21/67069—Apparatus for fluid treatment for etching for drying etching
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
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- Theoretical Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Physics & Mathematics (AREA)
- Software Systems (AREA)
- General Physics & Mathematics (AREA)
- Evolutionary Computation (AREA)
- Artificial Intelligence (AREA)
- Data Mining & Analysis (AREA)
- Mathematical Physics (AREA)
- General Engineering & Computer Science (AREA)
- Computing Systems (AREA)
- Medical Informatics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Molecular Biology (AREA)
- General Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- Biophysics (AREA)
- Computational Linguistics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Materials Engineering (AREA)
- Mechanical Engineering (AREA)
- Metallurgy (AREA)
- Organic Chemistry (AREA)
- Chemical Kinetics & Catalysis (AREA)
- General Chemical & Material Sciences (AREA)
- Plasma & Fusion (AREA)
- Drying Of Semiconductors (AREA)
- Microelectronics & Electronic Packaging (AREA)
- Computer Hardware Design (AREA)
- Manufacturing & Machinery (AREA)
- Power Engineering (AREA)
- Chemical Vapour Deposition (AREA)
- Condensed Matter Physics & Semiconductors (AREA)
- Physical Vapour Deposition (AREA)
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JPPCT/JP2019/008393 | 2019-03-04 | ||
| PCT/JP2019/008393 WO2020178945A1 (ja) | 2019-03-04 | 2019-03-04 | 基板処理装置のプロセス判定装置、基板処理システム、基板処理装置のプロセス判定方法及び学習モデル群 |
| PCT/JP2020/008659 WO2020179729A1 (ja) | 2019-03-04 | 2020-03-02 | 基板処理装置の製造プロセス判定装置、基板処理システム、基板処理装置の製造プロセス判定方法、学習モデル群、学習モデル群の生成方法及びプログラム |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| KR20210134298A KR20210134298A (ko) | 2021-11-09 |
| KR102820933B1 true KR102820933B1 (ko) | 2025-06-16 |
Family
ID=70682424
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| KR1020217003991A Active KR102820933B1 (ko) | 2019-03-04 | 2020-03-02 | 기판 처리 장치의 제조 프로세스 판정 장치, 기판 처리 시스템, 기판 처리 장치의 제조 프로세스 판정 방법, 학습 모델군, 학습 모델군의 생성 방법 및 프로그램 |
Country Status (6)
| Country | Link |
|---|---|
| US (1) | US20220114484A1 (enExample) |
| EP (1) | EP3819930A4 (enExample) |
| JP (2) | JP6696059B1 (enExample) |
| KR (1) | KR102820933B1 (enExample) |
| CN (1) | CN112655077B (enExample) |
| WO (2) | WO2020178945A1 (enExample) |
Families Citing this family (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP7527172B2 (ja) * | 2020-02-14 | 2024-08-02 | 株式会社フジクラ | 判定装置、機械学習装置、判定方法、機械学習方法、プログラム、及び構造体の製造方法 |
| WO2021240572A1 (ja) * | 2020-05-25 | 2021-12-02 | 株式会社日立ハイテク | 半導体装置製造システムおよび半導体装置製造方法 |
| CN111882030B (zh) * | 2020-06-29 | 2023-12-05 | 武汉钢铁有限公司 | 一种基于深度强化学习的加锭策略方法 |
| JP7541182B2 (ja) * | 2020-08-21 | 2024-08-27 | リアルタイムテック カンパニー,リミテッド | ディープラーニングベースのリアルタイム工程監視システム及びその方法 |
| US11860973B2 (en) * | 2020-10-27 | 2024-01-02 | Applied Materials, Inc. | Method and system for foreline deposition diagnostics and control |
| US12371791B2 (en) | 2021-01-15 | 2025-07-29 | Taiwan Semiconductor Manufacturing Co., Ltd. | System and method for dynamically adjusting thin-film deposition parameters |
| JP7176143B2 (ja) * | 2021-03-31 | 2022-11-21 | Sppテクノロジーズ株式会社 | 基板処理装置のプロセス判定装置、基板処理システム、基板処理装置のプロセス判定方法、学習モデル群、学習モデル群の生成方法及びプログラム |
| JP7041773B1 (ja) | 2021-05-26 | 2022-03-24 | Sppテクノロジーズ株式会社 | 基板処理装置のプロセス判定装置、基板処理システム、基板処理装置のプロセス判定方法、学習モデルの生成方法及びプログラム |
| JP7041776B1 (ja) | 2021-06-30 | 2022-03-24 | Sppテクノロジーズ株式会社 | 基板処理装置のプロセス判定装置、基板処理システム、基板処理装置のプロセス判定方法、学習モデルの生成方法及びプログラム |
| TW202310131A (zh) * | 2021-08-24 | 2023-03-01 | 日商東京威力科創股份有限公司 | 基板處理裝置、模型資料產生裝置、基板處理方法、及模型資料產生方法 |
| KR102673673B1 (ko) * | 2021-12-09 | 2024-06-07 | 한국핵융합에너지연구원 | Rf 신호를 이용한 플라즈마 상태 감지 장치 및 이를 이용한 플라즈마 상태 감지 방법 |
| JP7750775B2 (ja) * | 2022-03-02 | 2025-10-07 | 株式会社Screenホールディングス | 制御支援装置および制御支援方法 |
| US20240012393A1 (en) * | 2022-07-08 | 2024-01-11 | Applied Materials, Inc. | Sustainability monitoring platform with sensor support |
| KR102742969B1 (ko) * | 2022-10-31 | 2024-12-16 | 김승민 | Rf 플라스마 전력 시스템에서의 고장 진단 장치 및 그 방법 |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2011007553A (ja) * | 2009-06-24 | 2011-01-13 | Hitachi High-Technologies Corp | 欠陥検出方法及び装置 |
Family Cites Families (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH05190457A (ja) * | 1992-01-17 | 1993-07-30 | Fuji Electric Co Ltd | 学習指示機能付半導体製造装置 |
| JPH0758015A (ja) * | 1993-08-16 | 1995-03-03 | Fuji Electric Co Ltd | 半導体製造装置の成膜条件予測装置 |
| JP2001134763A (ja) * | 1999-11-09 | 2001-05-18 | Hitachi Ltd | 撮像画像に基づく欠陥の分類方法、および、その結果の表示方法 |
| JP2005200730A (ja) * | 2004-01-19 | 2005-07-28 | Itagaki Kinzoku Kk | レーザー光照射による酸化膜形成方法および装置 |
| US20070249071A1 (en) * | 2006-04-21 | 2007-10-25 | Lei Lian | Neural Network Methods and Apparatuses for Monitoring Substrate Processing |
| JP4101280B2 (ja) | 2006-07-28 | 2008-06-18 | 住友精密工業株式会社 | 終点検出可能なプラズマエッチング方法及びプラズマエッチング装置 |
| JP5533662B2 (ja) * | 2008-10-30 | 2014-06-25 | コニカミノルタ株式会社 | 情報処理装置 |
| JP5640774B2 (ja) * | 2011-01-28 | 2014-12-17 | 富士通株式会社 | 情報照合装置、情報照合方法および情報照合プログラム |
| JP2014178229A (ja) * | 2013-03-15 | 2014-09-25 | Dainippon Screen Mfg Co Ltd | 教師データ作成方法、画像分類方法および画像分類装置 |
| JP6492880B2 (ja) * | 2015-03-31 | 2019-04-03 | 日本電気株式会社 | 機械学習装置、機械学習方法、および機械学習プログラム |
| US10032681B2 (en) * | 2016-03-02 | 2018-07-24 | Lam Research Corporation | Etch metric sensitivity for endpoint detection |
| JP6839342B2 (ja) * | 2016-09-16 | 2021-03-10 | 富士通株式会社 | 情報処理装置、情報処理方法およびプログラム |
| JP6921526B2 (ja) * | 2016-12-22 | 2021-08-18 | キヤノン株式会社 | 情報処理装置、情報処理方法及びプログラム |
| JP6860406B2 (ja) * | 2017-04-05 | 2021-04-14 | 株式会社荏原製作所 | 半導体製造装置、半導体製造装置の故障予知方法、および半導体製造装置の故障予知プログラム |
| EP3611691B1 (en) * | 2017-04-10 | 2021-04-21 | Fujitsu Limited | Recognition device, recognition system, recognition method, and recognition program |
| WO2019017962A1 (en) * | 2017-07-21 | 2019-01-24 | Landmark Graphics Corporation | TANK MODELING BASED ON DEEP LEARNING |
| US11416767B2 (en) * | 2018-04-27 | 2022-08-16 | Docusign International (Emea) Limited | Generative adversarial network model training using distributed ledger |
| US11763154B1 (en) * | 2019-01-30 | 2023-09-19 | Amazon Technologies, Inc. | Machine learning services with pre-trained models |
-
2019
- 2019-03-04 WO PCT/JP2019/008393 patent/WO2020178945A1/ja not_active Ceased
- 2019-03-04 JP JP2019557650A patent/JP6696059B1/ja active Active
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2020
- 2020-03-02 CN CN202080004996.7A patent/CN112655077B/zh active Active
- 2020-03-02 JP JP2021504075A patent/JP7504863B2/ja active Active
- 2020-03-02 WO PCT/JP2020/008659 patent/WO2020179729A1/ja not_active Ceased
- 2020-03-02 KR KR1020217003991A patent/KR102820933B1/ko active Active
- 2020-03-02 US US17/265,857 patent/US20220114484A1/en active Pending
- 2020-03-02 EP EP20766387.3A patent/EP3819930A4/en active Pending
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2011007553A (ja) * | 2009-06-24 | 2011-01-13 | Hitachi High-Technologies Corp | 欠陥検出方法及び装置 |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2020178945A1 (ja) | 2020-09-10 |
| JP7504863B2 (ja) | 2024-06-24 |
| KR20210134298A (ko) | 2021-11-09 |
| JPWO2020178945A1 (ja) | 2021-03-18 |
| CN112655077B (zh) | 2023-10-20 |
| WO2020179729A1 (ja) | 2020-09-10 |
| EP3819930A4 (en) | 2021-10-27 |
| CN112655077A (zh) | 2021-04-13 |
| JP6696059B1 (ja) | 2020-05-20 |
| US20220114484A1 (en) | 2022-04-14 |
| EP3819930A1 (en) | 2021-05-12 |
| JPWO2020179729A1 (enExample) | 2020-09-10 |
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