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公开(公告)号:US11586789B2
公开(公告)日:2023-02-21
申请号:US17224545
申请日:2021-04-07
Applicant: Applied Materials, Inc.
Inventor: Dhritiman Subha Kashyap , Chaowei Wang , Kartik Shah , Kevin Griffin , Karthik Ramanathan , Hanhong Chen , Joseph AuBuchon , Sanjeev Baluja
Abstract: Methods, software systems and processes to develop surrogate model-based optimizers for controlling and optimizing flow and pressure of purges between a showerhead and a heater having a substrate support to control non-uniformity inherent in a processing chamber due to geometric configuration and process regimes. The flow optimizer process utilizes experimental data from optimal process space coverage models, generated simulation data and statistical machine learning tools (i.e. regression models and global optimizers) to predict optimal flow rates for any user-specified process regime.
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公开(公告)号:US20250037978A1
公开(公告)日:2025-01-30
申请号:US18225454
申请日:2023-07-24
Applicant: Applied Materials, Inc.
Inventor: Sanjeev Baluja , Chaowei Wang , Kevin Griffin , Kenneth Brian Doering , Hanhong Chen , Joseph AuBuchon
Abstract: Gas distribution assemblies for semiconductor devices are described. The gas distribution assemblies include a backplate, a faceplate, a counterbored hole, and at least one orifice. The at least one orifice includes, for example, at least one straight orifice, or at least two angled orifices. Some embodiments of the gas distribution assemblies provide for reduced plasma damage in a processing chamber. Some embodiments of the gas distribution assemblies provide for reduced jetting on a substrate in a processing chamber. Methods of reducing plasma damage in gas distribution assemblies are also described.
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公开(公告)号:US20230317416A1
公开(公告)日:2023-10-05
申请号:US17712046
申请日:2022-04-01
Applicant: Applied Materials, Inc.
Inventor: Chaowei Wang , Kenneth Brian Doering , Hanhong Chen , Kartik Shah , Kevin Griffin , Hao Zhang
IPC: H01J37/32
CPC classification number: H01J37/3244 , H01J37/3222
Abstract: Plasma showerheads with improved gas uniformity are disclosed. One or more embodiment of the disclosure provides a plasma showerhead with angled gas nozzles. Some embodiments of the disclosure have gas nozzles angled by a vertical offset angle and/or a directional offset angle. None of the gas channels and/or the gas nozzles intersect with the plasma regions of the showerhead.
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公开(公告)号:US20230008986A1
公开(公告)日:2023-01-12
申请号:US17861395
申请日:2022-07-11
Applicant: Applied Materials, Inc.
Inventor: Prahallad Iyengar , Sanjeev Baluja , Kartik Shah , Chaowei Wang , Janisht Golcha , Eric J. Hoffmann , Joseph AuBuchon , Ashutosh Agarwal , Lin Sun , Cong Trinh
IPC: C23C16/455
Abstract: Gas injector with a vacuum channel having an inlet opening in the front face and an outlet opening in the back face of the injector are described. The vacuum channel comprises a first leg extending a first length from the inlet opening in the front face at a first angle relative to the front face and a second leg extending a second length from the first leg to the outlet opening in the back face at a second angle relative to the front face. Processing chambers and methods of use comprising a plurality of processing regions bounded around an outer peripheral edge by one or more vacuum channel. A first processing region has a first vacuum channel with a first outer diameter and a second processing region has a second vacuum channel with a second outer diameter, the first outer diameter being less than the second outer diameter.
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公开(公告)号:US20220327262A1
公开(公告)日:2022-10-13
申请号:US17224545
申请日:2021-04-07
Applicant: Applied Materials, Inc.
Inventor: Dhritiman Subha Kashyap , Chaowei Wang , Kartik Shah , Kevin Griffin , Karthik Ramanathan , Hanhong Chen , Joseph AuBuchon , Sanjeev Baluja
Abstract: Methods, software systems and processes to develop surrogate model-based optimizers for controlling and optimizing flow and pressure of purges between a showerhead and a heater having a substrate support to control non-uniformity inherent in a processing chamber due to geometric configuration and process regimes. The flow optimizer process utilizes experimental data from optimal process space coverage models, generated simulation data and statistical machine learning tools (i.e. regression models and global optimizers) to predict optimal flow rates for any user-specified process regime.
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