Invention Publication
- Patent Title: SEMICONDUCTOR PROCESSING TOOLS WITH IMPROVED PERFORMANCE BY USE OF HYBRID LEARNING MODELS
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Application No.: US18099130Application Date: 2023-01-19
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Publication No.: US20230153503A1Publication Date: 2023-05-18
- Inventor: Stephen Moffatt , SHELDON R. NORMAND , DERMOT P. CANTWELL
- Applicant: Applied Materials, Inc.
- Applicant Address: US CA Santa Clara
- Assignee: Applied Materials, Inc.
- Current Assignee: Applied Materials, Inc.
- Current Assignee Address: US CA Santa Clara
- Main IPC: G06F30/367
- IPC: G06F30/367 ; H01L21/66 ; G06F30/398

Abstract:
Embodiments disclosed herein include a semiconductor manufacturing tool with a hybrid model and methods of using the hybrid model for processing wafers and/or developing process recipes. In an embodiment, a method for developing a semiconductor manufacturing process recipe comprises selecting one or more device outcomes, and querying a hybrid model to obtain a process recipe recommendation suitable for obtaining the device outcomes. In an embodiment, the hybrid process model comprises a statistical model and a physical model. In an embodiment, the method may further comprise executing a design of experiment (DoE) on a set of wafers to validate the process recipe recommended by the hybrid process model.
Public/Granted literature
- US11947888B2 Semiconductor processing tools with improved performance by use of hybrid learning models Public/Granted day:2024-04-02
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