Screening Efficient Tandem Organic Solar Cells with Machine Learning and Genetic Algorithms
Author:
Affiliation:
1. Department of Chemical and Petroleum Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, United States
2. Department of Chemistry, University of Pittsburgh, 219 Parkman Avenue, Pittsburgh, Pennsylvania 15260, United States
Funder
Basic Energy Sciences
Publisher
American Chemical Society (ACS)
Subject
Surfaces, Coatings and Films,Physical and Theoretical Chemistry,General Energy,Electronic, Optical and Magnetic Materials
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.jpcc.3c00267
Reference77 articles.
1. New Phase for Organic Solar Cell Research: Emergence of Y-Series Electron Acceptors and Their Perspectives
2. Monolithic perovskite/silicon tandem solar cell with >29% efficiency by enhanced hole extraction
3. Detailed Balance Limit of Efficiency of p‐n Junction Solar Cells
4. Detailed balance limit of the efficiency of tandem solar cells
5. Design Rules for Donors in Bulk-Heterojunction Tandem Solar Cells?Towards 15 % Energy-Conversion Efficiency
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