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Filtering by: Author Minh-Quyet Ha Author Takashi Miyake Funder the Program for Promoting Research on the Supercomputer Fugaku Type of work Publication Language English Resource type Article

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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