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Charting the thermodynamic stability of hybrid perovskite alloys with machine learning

Laakso, Jarno et al.
arXiv (All) · Papers
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materials-science
Alloy-based perovskite semiconductor materials offer tunable properties and improved stability, but their complexity has impeded accurate modeling, hindering development of solar cell devices. We present a machine-learning (ML) accelerated atomistic modeling approach for the phase stability of (Cs/F
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