Invention Grant
- Patent Title: Spectrographic monitoring using a neural network
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Application No.: US15821553Application Date: 2017-11-22
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Publication No.: US10732607B2Publication Date: 2020-08-04
- Inventor: Benjamin Cherian
- 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: G05B19/406
- IPC: G05B19/406 ; G06N3/08 ; G06N3/04 ; G05B13/02 ; G06F17/12

Abstract:
A method of processing a substrate includes subjecting a substrate to processing that modifies a thickness of an outer layer of the substrate, measuring a spectrum of light reflected from the substrate during processing, reducing the dimensionality of the measured spectrum to generate a plurality of component values, generating a characterizing value using an artificial neural network, and determining at least one of whether to halt processing of the substrate or an adjustment for a processing parameter based on the characterizing value. The artificial neural network has a plurality of input nodes to receive the plurality of component values, an output node to output the characterizing value, and a plurality of hidden nodes connecting the input nodes to the output node.
Public/Granted literature
- US20180150052A1 SPECTROGRAPHIC MONITORING USING A NEURAL NETWORK Public/Granted day:2018-05-31
Information query
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