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:
Jan. 27, 2026

Filed:

May. 13, 2021
Applicant:

Hitachi High-tech Corporation, Tokyo, JP;

Inventors:

Toru Aramaki, Tokyo, JP;

Go Saito, Tokyo, JP;

Kenichiro Komeda, Tokyo, JP;

Yuji Enomoto, Tokyo, JP;

Takashi Tsutsumi, Tokyo, JP;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H01J 37/32 (2006.01); G06N 20/00 (2019.01); H01L 21/3065 (2006.01); H01L 21/67 (2006.01);
U.S. Cl.
CPC ...
H01J 37/32862 (2013.01); H01J 37/32926 (2013.01); H01J 37/3299 (2013.01); G06N 20/00 (2019.01); H01J 37/3288 (2013.01); H01J 2237/334 (2013.01); H01J 2237/335 (2013.01); H01L 21/3065 (2013.01); H01L 21/67288 (2013.01);
Abstract

The invention is to provide a semiconductor manufacturing apparatus system and a semiconductor device manufacturing method for reducing particles having an adverse effect in a manufacturing step of a semiconductor device. A semiconductor device manufacturing system, includes: a semiconductor manufacturing apparatus; and a platform connected to the semiconductor manufacturing apparatus via a network and in which a particle reduction processing is executed, in which the particle reduction processing includes: a step of acquiring a particle characteristic value by using a sample processed by the semiconductor manufacturing apparatus; a step of specifying a component of the semiconductor manufacturing apparatus leading to a particle generation based on the acquired particle characteristic value and correlation data by machine learning; a step of defining a cleaning condition for cleaning the semiconductor manufacturing apparatus based on the specified component; and a step of cleaning the semiconductor manufacturing apparatus using the defined cleaning condition, and the correlation data is correlation data between the particle characteristic value acquired in advance and the component.


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