Cell Reports Physical Science
Volume 1, Issue 9, 23 September 2020, 100179
ArticlePredicting Inorganic Photovoltaic Materials with Efficiencies >26% via Structure-Relevant Machine Learning and Density Functional Calculations
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Graphical Abstract
Keywords
machine learning
density functional theory
photovoltaic materials
power conversion efficiency
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