Assessing Performance and Limitations of a Device‐Level Machine Learning Approach for Perovskite Solar Cells with an Application to Hole Transport Materials

Machine learning models have become widespread in materials science research. An open‐access and community‐driven database containing over 40 000 perovskite photovoltaic devices has been recently published. This resource enables the application of predictive data‐driven models to correlate device st...

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Veröffentlicht in:	Solar RRL 2023-10, Vol.7 (20)
Hauptverfasser:	Sala, Simone, Quadrivi, Eleonora, Biagini, Paolo, Po’, Riccardo
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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