文献
J-GLOBAL ID:202202231847154180
整理番号:22A1161881
学習問題:機械学習と原子論的シミュレーションによる材料設計【JST・京大機械翻訳】
Learning Matter: Materials Design with Machine Learning and Atomistic Simulations
著者 (7件):
Axelrod Simon
(Department of Chemistry and Chemical Biology, Harvard University, Massachusetts, United States)
,
Axelrod Simon
(Department of Materials Science and Engineering, Massachusetts Institute of Technology)
,
Schwalbe-Koda Daniel
(Department of Materials Science and Engineering, Massachusetts Institute of Technology)
,
Mohapatra Somesh
(Department of Materials Science and Engineering, Massachusetts Institute of Technology)
,
Damewood James
(Department of Materials Science and Engineering, Massachusetts Institute of Technology)
,
Greenman Kevin P.
(Department of Chemical Engineering, Massachusetts Institute of Technology)
,
Gomez-Bombarelli Rafael
(Department of Materials Science and Engineering, Massachusetts Institute of Technology)
資料名:
Accounts of Materials Research
(Accounts of Materials Research)
巻:
3
号:
3
ページ:
343-357
発行年:
2022年
JST資料番号:
W6385A
ISSN:
2643-6728
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)