Theoretical Study of WS-9-Based Organic Sensitizers for Unusual Vis/NIR Absorption and Highly Efficient Dye-Sensitized Solar Cells
Minjie Li(Ministry of Agriculture and Rural Affairs), Zhen Wei(Shanghai University), Kou Li(Shanghai University), Ling Diao(Shanghai University), Wencong Lu(Shanghai University), Qiang Wu(Shanghai University), Dengyu Pan(Shanghai University), Qing Zhang(Shanghai University), Zhonggao Li(Shanghai University)
Cited by 167
Related Papers
Small data machine learning in materials science
|npj Computational Materials|2023|697
Machine learning for perovskite materials design and discovery
|npj Computational Materials|2021|488
A machine learning-based alloy design system to facilitate the rational design of high entropy alloys with enhanced hardness
|Acta Materialia|2021|317
Using LogitBoost classifier to predict protein structural classes
|Journal of Theoretical Biology|2005|202