A cascaded QSAR model for efficient prediction of overall power conversion efficiency of all-organic dye-sensitized solar cells

© 2015 Wiley Periodicals, Inc.

Bibliographische Detailangaben
Veröffentlicht in:Journal of computational chemistry. - 1984. - 36(2015), 14 vom: 30. Mai, Seite 1036-46
1. Verfasser: Li, Hongzhi (VerfasserIn)
Weitere Verfasser: Zhong, Ziyan, Li, Lin, Gao, Rui, Cui, Jingxia, Gao, Ting, Hu, Li Hong, Lu, Yinghua, Su, Zhong-Min, Li, Hui
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2015
Zugriff auf das übergeordnete Werk:Journal of computational chemistry
Schlagworte:Journal Article dye-sensitizer solar cells machine learning methods organic dye sensitizers power conversion efficiency quantitative structure activity relationship quantum chemical calculations