Intrinsic Reactivity Index as Descriptor for Accurately Predicting Short-Circuit Current Density in Ternary Organic Solar Cells

被引:0
|
作者
Lee, Min-Hsuan [1 ,2 ,3 ]
Hsiao, Yu-Tang [4 ]
Liao, Chuang-Yi [4 ]
Chang, Yi-Ming [4 ]
机构
[1] Natl Yang Ming Chiao Tung Univ, Inst Environm & Occupat Hlth Sci, Sch Med, Taipei 112304, Taiwan
[2] Natl Yang Ming Chiao Tung Univ, Inst Environm Engn, Hsinchu 300093, Taiwan
[3] Natl Tsing Hua Univ, PhD Program Biomed Artificial Intelligence, Hsinchu 30013, Taiwan
[4] Raynergy Tek Inc, Hsinchu 30844, Taiwan
来源
ACS APPLIED ENERGY MATERIALS | 2025年 / 8卷 / 01期
关键词
SHAP; intrinsic reactivity index; ternary organicsolar cells; nonfullerene acceptors; gradient boostingmodel; ELECTROPHILICITY; OPTIMIZATION;
D O I
10.1021/acsaem.4c02987
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Designing high short-circuit current density (J SC ) nonfullerene acceptor (NFA)-based ternary organic solar cells (OSCs) is challenging due to the vast diversity of materials. This study presents an eXtreme Gradient Boosting (XGBoost) model utilizing the intrinsic reactivity index (IRI) for accurate J SC prediction, achieving an R2 of 0.86. Feature importance analysis reveals that electrophilicity of NFAs significantly influences J SC . The model's predictions align well with experimental J SC values from three fabricated devices and exhibit excellent generalization for ternary OSCs with 19% power conversion efficiency reported in the literature. These findings offer avenues for advancing NFA-based OSCs with enhanced J SC through intelligent design.
引用
收藏
页码:36 / 42
页数:7
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