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Filtering by: Author Takashi Miyake Funder the Program for Promoting Research on the Supercomputer Fugaku Funder MEXT ESICMM Type of work Publication

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