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Light: Science & Applications (2)

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Data-driven design of high-performance MASn_xPb_1-xI₃ perovskite materials by machine learning and experimental realization

The forward-reverse framework based on machine learning for MASn_xPb_1-xI₃ perovskite solar cells is reported. The practicability of bandgap model revealing asymmetrically-bowing shape and optimized Sn:Pb ratio are verified by experiments.

Xia Cai
Fengcai Liu
Yiqiang Zhan
ResearchOpen Access26 Jul 2022
Light: Science & Applications

Volume: 11, P: 1-12
There is plenty of room at the top: generation of hot charge carriers and their applications in perovskite and other semiconductor-based optoelectronic devices

In photoactive materials, the fundamental understandings of hot charge carriers and a successful device design are the current challenges for the development of highly efficient hot carrier optoelectronic devices.

Irfan Ahmed
Lei Shi
Yiqiang Zhan
ReviewsOpen Access01 Sept 2021
Light: Science & Applications

Volume: 10, P: 1-28

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Data-driven design of high-performance MASnxPb1-xI3 perovskite materials by machine learning and experimental realization

There is plenty of room at the top: generation of hot charge carriers and their applications in perovskite and other semiconductor-based optoelectronic devices

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Data-driven design of high-performance MASn_xPb_1-xI₃ perovskite materials by machine learning and experimental realization