Data-driven design of high-performance MASnxPb1-xI3 perovskite materials by machine learning and experimental realization
Realization (probability)
Distortion (music)
Open-circuit voltage
DOI:
10.1038/s41377-022-00924-3
Publication Date:
2022-07-26T06:04:53Z
AUTHORS (10)
ABSTRACT
The photovoltaic performance of perovskite solar cell is determined by multiple interrelated factors, such as compositions, electronic properties each transport layer and fabrication parameters, which makes it rather challenging for optimization device performances discovery underlying mechanisms. Here, we propose realize a novel machine learning approach based on forward-reverse framework to establish the relationship between key parameters in high-profile MASn
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