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Machine Learning Enables Prediction of Halide Perovskites' Optical Behavior with >90% Accuracy.
Srivastava, Meghna; Hering, Abigail R; An, Yu; Correa-Baena, Juan-Pablo; Leite, Marina S.
Affiliation
  • Srivastava M; Department of Materials Science and Engineering, UC Davis, Davis, California 95616, United States.
  • Hering AR; Department of Materials Science and Engineering, UC Davis, Davis, California 95616, United States.
  • An Y; Department of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
  • Correa-Baena JP; Department of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
  • Leite MS; Department of Materials Science and Engineering, UC Davis, Davis, California 95616, United States.
ACS Energy Lett ; 8(4): 1716-1722, 2023 Apr 14.
Article in En | MEDLINE | ID: mdl-37090172
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: ACS Energy Lett Year: 2023 Document type: Article Affiliation country: United States Country of publication: United States
Fulltext
Add to My VHL
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: ACS Energy Lett Year: 2023 Document type: Article Affiliation country: United States Country of publication: United States