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Filtering by: Author Hiori Kino Author Takashi Miyake Author Viet-Cuong Nguyen Keyword Dempster–Shafer theory Publisher National Institute for Materials Science

Evidence-based recommender system for high-entropy alloys

Description/Abstract:

Existing data-driven approaches for exploring high-entropy alloys (HEAs) face three challenges: numerous element-combination candidates, ...

Keyword:

recommender system , Dempster–Shafer theory, evidence theory, and high-entropy alloys

Resource Type:

Article

Author:

Minh-Quyet Ha, Duong-Nguyen Nguyen, Viet-Cuong Nguyen, Takahiro Nagata, Toyohiro Chikyow, Hiori Kino, Takashi Miyake, Thierry Denœux, Van-Nam Huynh, and Hieu-Chi Dam

Date Uploaded:

09/02/2023

Date Modified:

29/03/2024
Evidence-based data mining method to reveal similarities between materials based on physical mechanisms

Description/Abstract:

Measuring the similarity between materials is essential for estimating their properties and revealing the associated physical mechanisms....

Keyword:

Curie temperature, Dempster–Shafer theory, evidence theory, magnetization, mixture of experts, physical mechanism, similarity evidence, transition rare-earth metal binary allloys, and visualization

Resource Type:

Article

Author:

Minh-Quyet Ha, Duong-Nguyen Nguyen, Viet-Cuong Nguyen, Hiori Kino, Yasunobu Ando, Takashi Miyake, Thierry Denœux, Van-Nam Huynh, and Hieu-Chi Dam

Date Uploaded:

08/02/2023

Date Modified:

07/05/2024

Evidence-based recommender system for high-entropy alloys

Evidence-based data mining method to reveal similarities between materials based on physical mechanisms

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