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1.
公开(公告)号:US20220246481A1
公开(公告)日:2022-08-04
申请号:US17166288
申请日:2021-02-03
Applicant: Applied Materials, Inc.
Inventor: Bharath Ram Sundar , Raman K. Nurani , Utkarsha Avinash Dhanwate , Ramakrishnan S. Hariharan , Suresh Bharatharajan Kudallur , Vishwath Ram Amarnath
IPC: H01L21/66 , G06N20/00 , G06K9/62 , G01N23/04 , G01N23/2251
Abstract: A method includes obtaining sensor data associated with a deposition process performed in a process chamber to deposit a film stack on a surface of a substrate, wherein the film stack comprises a plurality of layers of a first material and a plurality of layers of a second material. The method further includes obtaining metrology data associated with the film stack. The method further includes training a first machine-learning model based on the sensor data and the metrology data, wherein the first machine-learning model is trained to generate predictive metrology data associated with layers of the first material. The method further includes training a second machine-learning model based on the sensor data and the metrology data, wherein the second machine-learning model is trained to generate predictive metrology data associated with layers of the second material.
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2.
公开(公告)号:US11862520B2
公开(公告)日:2024-01-02
申请号:US17166288
申请日:2021-02-03
Applicant: Applied Materials, Inc.
Inventor: Bharath Ram Sundar , Raman K. Nurani , Utkarsha Avinash Dhanwate , Ramakrishnan S. Hariharan , Suresh Bharatharajan Kudallur , Vishwath Ram Amarnath
IPC: H01L21/66 , G01N23/2251 , G01N23/04 , G06N20/00 , G06F18/214
CPC classification number: H01L22/12 , G01N23/04 , G01N23/2251 , G06F18/214 , G06N20/00 , H01L22/26
Abstract: A method includes obtaining sensor data associated with a deposition process performed in a process chamber to deposit a film stack on a surface of a substrate, wherein the film stack comprises a plurality of layers of a first material and a plurality of layers of a second material. The method further includes obtaining metrology data associated with the film stack. The method further includes training a first machine-learning model based on the sensor data and the metrology data, wherein the first machine-learning model is trained to generate predictive metrology data associated with layers of the first material. The method further includes training a second machine-learning model based on the sensor data and the metrology data, wherein the second machine-learning model is trained to generate predictive metrology data associated with layers of the second material.
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