Deep-Learning Architecture in QSPR Modeling for the Prediction of Energy Conversion Efficiency of Solar Cells-Reference-Cited by-同舟云学术

Deep-Learning Architecture in QSPR Modeling for the Prediction of Energy Conversion Efficiency of Solar Cells

Author:

Wu Jinkui¹^ORCID,Wang Shihui¹,Zhou Li¹^ORCID,Ji Xu¹,Dai Yiyang¹,Dang Yagu¹^ORCID,Kraft Markus²³⁴^ORCID

Affiliation:

1. School of Chemical Engineering, Sichuan University, Chengdu 610065, China

2. Cambridge Center for Advanced Research and Education in Singapore Ltd., 1 Create Way, 138602 Singapore

3. Department of Chemical Engineering and Biotechnology, University of Cambridge, Philippa Fawcett Drive, Cambridge CB3 0AS, U.K.

4. School of Chemical and Biomedical Engineering, Nanyang Technological University, 62 Nanyang Drive, Singapore 637459, Singapore

Funder

Ministry of Education of the People's Republic of China

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

Reference46 articles.

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