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Efficient Optimization of the Performance of Mn 2+ ‐Doped Kesterite Solar Cell: Machine Learning Aided Synthesis of High Efficient Cu 2 (Mn,Zn)Sn(S,Se) 4 Solar Cells (Solar RRL 12∕2018)
Author(s) -
Li Xiuling,
Hou Zhufeng,
Gao Shoushuai,
Zeng Yu,
Ao Jianping,
Zhou Zhiqiang,
Da Bo,
Liu Wei,
Sun Yun,
Zhang Yi
Publication year - 2018
Publication title -
solar rrl
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.544
H-Index - 37
ISSN - 2367-198X
DOI - 10.1002/solr.201870237
Subject(s) - kesterite , doping , solar cell , manganese , materials science , metallurgy , optoelectronics , czts
In article no. 1800198 , Bo Da, Yi Zhang, and co‐workers determine the optimal doping content of Mn 2+ in CZTSSe films effectively and rapidly to achieve the best solar cell efficiency by machine learning. A CM 0.05 Z 0.95 TSSe solar cell with an efficiency of 8.93% is achieved.