Invention Grant
- Patent Title: Using a trained neural network for use in in-situ monitoring during polishing and polishing system
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Application No.: US17317501Application Date: 2021-05-11
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Publication No.: US11658078B2Publication Date: 2023-05-23
- Inventor: Kun Xu , Kiran Lall Shrestha , Doyle E. Bennett , David Maxwell Gage , Benjamin Cherian , Jun Qian , Harry Q. Lee
- 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
- Agency: Fish & Richardson P.C.
- Main IPC: H01L21/66
- IPC: H01L21/66 ; H01L21/304 ; B24B37/013 ; B24B49/10 ; H01L21/321 ; G06N3/08 ; G06F17/15

Abstract:
A method of polishing a substrate includes polishing a conductive layer on the substrate at a polishing station, monitoring the layer with an in-situ eddy current monitoring system to generate a plurality of measured signals values for a plurality of different locations on the layer, generating thickness measurements the locations, and detecting a polishing endpoint or modifying a polishing parameter based on the thickness measurements. The conductive layer is formed of a first material having a first conductivity. Generating includes calculating initial thickness values based on the plurality of measured signals values and processing the initial thickness values through a neural network that was trained using training data acquired by measuring calibration substrates having a conductive layer formed of a second material having a second conductivity that is lower than the first conductivity to generated adjusted thickness values.
Public/Granted literature
- US20210358819A1 USING A TRAINED NEURAL NETWORK FOR USE IN IN-SITU MONITORING DURING POLISHING AND POLISHING SYSTEM Public/Granted day:2021-11-18
Information query
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