The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Feb. 13, 2024

Filed:

Mar. 18, 2021
Applicant:

Ebara Corporation, Tokyo, JP;

Inventors:

Akira Nakamura, Tokyo, JP;

Tsuneo Torikoshi, Tokyo, JP;

Yuta Suzuki, Tokyo, JP;

Hisanori Matsuo, Tokyo, JP;

Takahito Kagoshima, Tokyo, JP;

Assignee:

EBARA CORPORATION, Tokyo, JP;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
B24B 37/005 (2012.01);
U.S. Cl.
CPC ...
B24B 37/005 (2013.01);
Abstract

A polishing apparatus that is capable of referring to a storage in which a machine learning model is stored, the machine learning model being learned using learning data in which a feature amount of a signal regarding a frictional force between a polishing member and a substrate in polishing or a feature amount of a temperature of the polishing member or the substrate in polishing is input, and data regarding a film thickness of the polished substrate or a parameter related to yield of a product included in the polished substrate is output, the device including: a polishing table provided with the polishing member and configured to be rotatable; a polishing head facing the polishing table and configured to be rotatable, wherein the substrate is attachable to a surface facing the polishing table; a control unit configured to perform control to polish the substrate by pressing the substrate against the polishing member while rotating the polishing table and the polishing head having the substrate attached thereto; and a processor configured to generate the feature amount from the signal regarding the frictional force between the polishing member and the substrate in polishing or the feature amount from the temperature of the polishing member or a target substrate in polishing, and output the data regarding the film thickness of the polished substrate or any of the parameters related to the yield of the product included in the polished substrate, as an estimated value, by inputting the generated feature amount to the learned machine learning model.


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