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Dokumenttyp:
Konferenzbeitrag 
Art des Konferenzbeitrags:
Vortrag / Präsentation 
Autor(en):
Gagliardi, A.; Mayr, F. 
Titel:
Machine-learning Based Screening of Mixed Perovskites 
Abstract:
Compositional engineering of perovskites enables the precise control of key material properties such as the bandgap [1]. This possibility makes perovskites a promising material for multijunc- tion, “tandem” solar cells, where the combination of two different bandgaps allows to easily break the Shockley-Queisser limit and thus improve efficiency [2]. The remaining challenge is to find structures with the target bandgap which are both stable in the environment as well as non-toxic (i.e. lead-free)...    »
 
Kongress- / Buchtitel:
Proceedings of Online Meetup: Methods to Analyze Stability of Perovskite-Type Absorbers and Solar Cells (StabPero) Online, Invited Speaker, Alessio Gagliardi, presentation 002 31.05.2020 
Kongress / Zusatzinformationen:
Online, Spain, June 2-3 2020 2020-05 
Verlag / Institution:
nanoGE 
Jahr:
2020 
Quartal:
2. Quartal 
Jahr / Monat:
2020-05 
Monat:
May 
Sprache:
en