Exploring new approaches towards the formability of mixed-ion perovskites by DFT and machine learning

Recent years have witnessed a growing effort in engineering and tuning the properties of hybrid halide perovskites as light absorbers. These have led to the successful enhancement of their stability, a feature that is often counterbalanced by a reduction of their power-conversion efficiency. In orde...

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Veröffentlicht in:	Physical chemistry chemical physics : PCCP 2019-01, Vol.21 (3), p.1078-1088
Hauptverfasser:	Park, Heesoo, Mall, Raghvendra, Alharbi, Fahhad H, Sanvito, Stefano, Tabet, Nouar, Bensmail, Halima, El-Mellouhi, Fedwa
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial intelligence Carrier transport Deformation Density functional theory Energy conversion efficiency Machine learning Mathematical analysis Optical properties Perovskites Stability
Online-Zugang:	Volltext
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