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Big data driven perovskite solar cell stability analysis.
- Published in:
- Nature Communications, 2022, v. 13, n. 1, p. 1, doi. 10.1038/s41467-022-35400-4
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- Publication type:
- Article
Addendum: Big data driven perovskite solar cell stability analysis.
- Published in:
- Nature Communications, 2024, v. 15, n. 1, p. 1, doi. 10.1038/s41467-024-48894-x
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- Publication type:
- Article
A systematic discrepancy between the short circuit current and the integrated quantum efficiency in perovskite solar cells.
- Published in:
- Nature Communications, 2023, v. 14, n. 1, p. 1, doi. 10.1038/s41467-023-41263-0
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- Article
The Future of Material Scientists in an Age of Artificial Intelligence.
- Published in:
- Advanced Science, 2024, v. 11, n. 19, p. 1, doi. 10.1002/advs.202401401
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- Publication type:
- Article
Rationalizing Performance Losses of Wide Bandgap Perovskite Solar Cells Evident in Data from the Perovskite Database.
- Published in:
- Advanced Energy Materials, 2024, v. 14, n. 5, p. 1, doi. 10.1002/aenm.202303420
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- Article
Device Performance of Emerging Photovoltaic Materials (Version 4).
- Published in:
- Advanced Energy Materials, 2024, v. 14, n. 4, p. 1, doi. 10.1002/aenm.202303173
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- Publication type:
- Article
Device Performance of Emerging Photovoltaic Materials (Version 3).
- Published in:
- Advanced Energy Materials, 2023, v. 13, n. 1, p. 1, doi. 10.1002/aenm.202203313
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- Publication type:
- Article
Device Performance of Emerging Photovoltaic Materials (Version 2).
- Published in:
- Advanced Energy Materials, 2021, v. 11, n. 48, p. 1, doi. 10.1002/aenm.202102526
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- Article
Device Performance of Emerging Photovoltaic Materials (Version 1).
- Published in:
- Advanced Energy Materials, 2021, v. 11, n. 11, p. 1, doi. 10.1002/aenm.202002774
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- Publication type:
- Article
Cs<sub>1−x</sub>DMA<sub>x</sub>PbI<sub>3</sub> versus CsPbI<sub>3</sub> for Perovskite Solar Cells.
- Published in:
- Solar RRL, 2023, v. 7, n. 7, p. 1, doi. 10.1002/solr.202300022
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- Article
Data‐Driven Tunnel Oxide Passivated Contact Solar Cell Performance Analysis Using Machine Learning.
- Published in:
- Advanced Materials, 2024, v. 36, n. 14, p. 1, doi. 10.1002/adma.202309351
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- Publication type:
- Article