Predicting Inorganic Photovoltaic Materials with...

Cell Reports Physical Science 2020 / 09 Vol. 1; Iss. 9

Predicting Inorganic Photovoltaic Materials with Efficiencies >26% via Structure-Relevant Machine Learning and Density Functional Calculations

Feng, Hong-Jian, Wu, Kan, Deng, Zun-Yi
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Volume:
1
Journal:
Cell Reports Physical Science
DOI:
10.1016/j.xcrp.2020.100179
Date:
September, 2020
File:
PDF, 6.54 MB
2020
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