Applications of machine learning in perovskite materials-Reference-Cited by-同舟云学术

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Applications of machine learning in perovskite materials

Published:2022-09-30 Issue:4 Volume:5 Page:2700-2720
ISSN:2522-0128
Container-title:Advanced Composites and Hybrid Materials
language:en
Short-container-title:Adv Compos Hybrid Mater

Author:

Wang Ziman,Yang Ming,Xie Xixi,Yu Chenyang,Jiang Qinglong,Huang Mina,Algadi Hassan,Guo Zhanhu,Zhang Hang

Funder

National Natural Science Foundation of China

NIH-Arkansas INBRE

Publisher

Springer Science and Business Media LLC

Subject

Materials Chemistry,Polymers and Plastics,Materials Science (miscellaneous),Ceramics and Composites

Link

https://link.springer.com/content/pdf/10.1007/s42114-022-00560-w.pdf

Reference66 articles.

1. Kojima A, Teshima K, Shirai Y et al (2009) Organometal halide perovskites as visible-light sensitizers for photovoltaic cells. J Am Chem Soc 131:6050–6051. https://doi.org/10.1021/ja809598r

2. Green MA, Dunlop ED, Hohl-Ebinger J et al (2019) Solar cell efficiency tables (Version 55). Prog Photovolt 28:3–15. https://doi.org/10.1002/pip.3228

3. Rostalski J, Meissner D (2000) Monochromatic versus solar efficiencies of organic solar cells. Sol Energy Mater Sol Cells 61:87–95. https://doi.org/10.1016/S0927-0248(99)00099-9

4. Mickelsen RA, Chen S (1981) Development of a 9.4% efficient thin-film CuInSe2/CdS solar cell. Proc 15th IEEE Photovolt Special Conf 15:800–804

5. Kamada R, Yagioka T, Adachi S et al (2016) New world record Cu(In,Ga)(Se,S)2 Thin film solar cell efficiency beyond 22%. Proc 43rd IEEE Photovoltaic Specialists Conference 1287–1291

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