文献
J-GLOBAL ID:202202259140706848
整理番号:22A0975050
水中の分子工学ハロゲン化物ペロブスカイト材料に対する光電気化学特性,機械学習および記号回帰【JST・京大機械翻訳】
Photoelectrochemical Properties, Machine Learning, and Symbolic Regression for Molecularly Engineered Halide Perovskite Materials in Water
著者 (6件):
Pan Zheng
(Institute of Advanced Materials and Flexible Electronics (IAMFE), School of Chemistry and Materials Science, Nanjing University of Information Science & Technology, China)
,
Pan Zheng
(School of Physics and Optoelectronic Engineering, Nanjing University of Information Science & Technology, China)
,
Zhou Yinguo
(Institute of Advanced Materials and Flexible Electronics (IAMFE), School of Chemistry and Materials Science, Nanjing University of Information Science & Technology, China)
,
Zhou Yinguo
(School of Physics and Optoelectronic Engineering, Nanjing University of Information Science & Technology, China)
,
Zhang Lei
(Institute of Advanced Materials and Flexible Electronics (IAMFE), School of Chemistry and Materials Science, Nanjing University of Information Science & Technology, China)
,
Zhang Lei
(School of Physics and Optoelectronic Engineering, Nanjing University of Information Science & Technology, China)
資料名:
ACS Applied Materials & Interfaces
(ACS Applied Materials & Interfaces)
巻:
14
号:
7
ページ:
9933-9943
発行年:
2022年
JST資料番号:
W2329A
ISSN:
1944-8244
CODEN:
AAMICK
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)