Machine learning facilitates the development of interconnecting layers for perovskite/silicon heterojunction tandem solar cells with proof-of-concept efficiency>38%
Xuejiao Wang Guanlan Chen Ying Liu Guangyi Wang Wei Han Jin Wang Pengfei Liu Jilei Wang Shaojuan Bao Bo Yu Xinliang Chen Shengzhi Xu Ying Zhao Xiaodan Zhang
Machine learning facilitates the development of interconnecting layers for perovskite/silicon heterojunction tandem solar cells with proof-of-concept efficiency>38%
摘要
关键词
perovskite/silicon heterojunction tandem solar cells/interconnecting layer/machine learning分类
动力与电气工程引用本文复制引用
Xuejiao Wang,Guanlan Chen,Ying Liu,Guangyi Wang,Wei Han,Jin Wang,Pengfei Liu,Jilei Wang,Shaojuan Bao,Bo Yu,Xinliang Chen,Shengzhi Xu,Ying Zhao,Xiaodan Zhang..Machine learning facilitates the development of interconnecting layers for perovskite/silicon heterojunction tandem solar cells with proof-of-concept efficiency>38%[J].Journal of Semiconductors,2025,46(11):P.77-86,10.基金项目
support of the National Key Research and Development Program of China(Grant No.2023YFB4202503) （Grant No.2023YFB4202503）
Tianjin Science and Technology Project(Grant No.24ZXZSSS00120) （Grant No.24ZXZSSS00120）
the Joint Funds of the National Natural Science Foundation of China(Grant No.U21A2072) （Grant No.U21A2072）
Yunnan Provincial Science and Technology Project at Southwest United Graduate School(Grant No.202302A0370009) （Grant No.202302A0370009）
the Overseas Expertise Introduction Project for Discipline Innovation of Higher Education of China(Grant No.B16027) （Grant No.B16027）
the project of high-efficiency heterojunction solar cell technology and equipment industrialization(Grant No.TC220A04A-159) （Grant No.TC220A04A-159）
TCL science and technology innovation fund.Financial support was provided by the Haihe Laboratory of Sustainable Chemical Transformations,and the Fundamental Research Funds for the Central Universities,Nankai University. （）
