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:
Sep. 24, 2024

Filed:

Nov. 18, 2019
Applicant:

Sumco Corporation, Tokyo, JP;

Inventors:

Ryusuke Yokoyama, Tokyo, JP;

Toshiyuki Fujiwara, Tokyo, JP;

Yusuke Higuchi, Aichi, JP;

Toru Ujihara, Aichi, JP;

Assignee:

SUMCO CORPORATION, Tokyo, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01N 25/18 (2006.01); C30B 15/20 (2006.01); C30B 35/00 (2006.01); G01N 27/18 (2006.01); G06N 20/00 (2019.01); C30B 29/36 (2006.01);
U.S. Cl.
CPC ...
G01N 25/18 (2013.01); C30B 15/20 (2013.01); C30B 35/00 (2013.01); G01N 27/18 (2013.01); G06N 20/00 (2019.01); C30B 29/36 (2013.01);
Abstract

A thermal conductivity estimation method includes: measuring temperature distribution of a measurement sample surface in a steady state by partially heating the measurement sample under predetermined heating conditions; calculating temperature distribution of a sample model surface by performing a heat-transfer simulation on the sample model of the same shape as the measurement sample for a plurality of combinations of provisional thermal conductivities and heating conditions; making a regression model, whose input is temperature distribution of the measurement sample surface and whose output is a thermal conductivity of the measurement sample, by a machine learning technique using training data in a form of a calculation result of the plurality of combinations and the temperature distribution obtained from the plurality of combinations; and estimating the thermal conductivity of the measurement sample by inputting a measurement result of the temperature distribution of the measurement sample surface into the regression model.


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