Title:
CHARACTERISTICS PREDICTION SYSTEM, CHARACTERISTICS PREDICTION METHOD, AND CHARACTERISTIC PREDICTION PROGRAM
Document Type and Number:
WIPO Patent Application WO/2022/225008
Kind Code:
A1
Abstract:
An input data generation system 10 generates input data for machine-learning that predicts the characteristics of a material based on a plurality of raw materials including known partial structures, and comprises a processor 101, wherein the processor 101: receives at least an input of partial structure data, which specifies the known partial structure of each of the plurality of raw materials, and mixing ratio data that indicates the respective mixing ratios of the plurality of raw materials; generates, for each of the plurality of raw materials, partial structure input data D that represents the known partial structure on the basis of the partial structure data; generates synthesized input data F by summing the partial structure input data D for each of the plurality of raw materials, while reflecting the mixing ratio data pertaining to the plurality of raw materials to the partial structure input data D of the plurality of raw materials; and inputs the synthesized input data F to a machine-learning model.
Inventors:
HANAOKA KYOHEI (JP)
Application Number:
PCT/JP2022/018415
Publication Date:
October 27, 2022
Filing Date:
April 21, 2022
Export Citation:
Assignee:
SHOWA DENKO MATERIALS CO LTD (JP)
International Classes:
G16C20/30; G06N20/00
Foreign References:
| JP2019028879A | 2019-02-21 | |||
| JP2019028879A | 2019-02-21 |
Other References:
OKUNO YOSHISHIGE: "Reducing the number of attempts to synthesize thermosetting polymers by AI analysis", THE 2019 PROJECT RESULT REPORT MATERIAL OF ULTRA-ADVANCED MATERIALS ULTRA-HIGH-SPEED DEVELOPMENT BASIC TECHNOLOGY, 13 April 2020 (2020-04-13), XP055978466, Retrieved from the Internet [retrieved on 20221107]
MINAMI TAKUYA: "Prediction of thermoset resin properties by using classification of raw materials and machine learning", THE SYMPOSIUM ON CHEMOINFORMATICS, 27 October 2018 (2018-10-27), XP055978469, Retrieved from the Internet [retrieved on 20221107]
IKEBATA HISAKI: "Polymer informatics utilizing PoLyInfo", CICSJ BULLETIN, 30 December 2019 (2019-12-30), pages 94 - 98, XP055978471, Retrieved from the Internet [retrieved on 20221107], DOI: 10.11546/cicsj.37.94
MINAMI TAKUYA: "Prediction of thermoset resin properties by using classification of raw materials and machine learning", THE SYMPOSIUM ON CHEMOINFORMATICS, 27 October 2018 (2018-10-27), XP055978469, Retrieved from the Internet
IKEBATA HISAKI: "Polymer informatics utilizing PoLyInfo", CICSJ BULLETIN, 30 December 2019 (2019-12-30), pages 94 - 98, XP055978471, Retrieved from the Internet
Attorney, Agent or Firm:
HASEGAWA Yoshiki et al. (JP)
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