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DOAJ Open Access 2022

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

Xia Cai Fengcai Liu Anran Yu Jiajun Qin Mohammad Hatamvand +5 lainnya
Lihat Sumber DOI

Abstrak

The forward-reverse framework based on machine learning for MASnxPb1-xI3 perovskite solar cells is reported. The practicability of bandgap model revealing asymmetrically-bowing shape and optimized Sn:Pb ratio are verified by experiments.

Topik & Kata Kunci

Applied optics. Photonics Optics. Light

Penulis (10)

X

Xia Cai

F

Fengcai Liu

A

Anran Yu

J

Jiajun Qin

M

Mohammad Hatamvand

I

Irfan Ahmed

J

Jiayan Luo

Y

Yiming Zhang

H

Hao Zhang

Y

Yiqiang Zhan

Format Sitasi

APA MLA BibTeX
Cai, X., Liu, F., Yu, A., Qin, J., Hatamvand, M., Ahmed, I. et al. (2022). Data-driven design of high-performance MASnxPb1-xI3 perovskite materials by machine learning and experimental realization. https://doi.org/10.1038/s41377-022-00924-3

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Informasi Jurnal
Tahun Terbit
2022
Sumber Database
DOAJ
DOI
10.1038/s41377-022-00924-3
Akses
Open Access ✓