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Filtering by: Author Hiori Kino Author Minh-Quyet Ha Funder JSPS KAKENHI Funder the Program for Promoting Research on the Supercomputer Fugaku Type of work Publication Resource type Article Rights Statement Sim Creative Commons BY Attribution 4.0 International

1. 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

1. Evidence-based recommender system for high-entropy alloys

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1. Evidence-based recommender system for high-entropy alloys

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