Mahmood Asif, Irfan Ahmad, Wang Jin-Liang
Department Key Laboratory of Cluster Science of Ministry of Education, Beijing Key Laboratory of Photoelectronic/Electrophotonic Conversion Materials, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, 100081, P. R. China.
Department of Chemistry, College of Science, King Khalid University, Abha, 61413, Saudi Arabia.
Chemistry. 2022 Jan 10;28(2):e202103712. doi: 10.1002/chem.202103712. Epub 2021 Dec 2.
Chemical structure of small molecule acceptors determines their performance in organic solar cells. Multiscale simulations are necessary to avoid trial-and-error based design, ultimately to save time and resources. In current study, the effect of sp -hybridized nitrogen substitution at the inner or the outmost position of central core, side chain, and terminal group of small molecule acceptors is investigated using multiscale computational modelling. Quantum chemical analysis is used to study the electronic behavior. Nitrogen substitution at end-capping has significantly decreased the electron-reorganization energy. No big change is observed in transfer integral and excited state behavior. However, nitrogen substitution at terminal group position is good way to improve electron-mobility. Power conversion efficiency (PCE) of newly designed acceptors is predicted using machine learning. Molecular dynamics simulations are also performed to explore the dynamics of acceptor and their blends with PBDB-T polymer donor. Florgy-Huggins parameter is calculated to study the mixing of designed small molecule acceptors with PBDB-T. Radial distribution function has indicated that PBDB-T has a closer packing with N3 and N4. From all analysis, it is found that nitrogen substitution at end-capping group is a better strategy to design efficient small molecule acceptors.
小分子受体的化学结构决定了它们在有机太阳能电池中的性能。多尺度模拟对于避免基于试错的设计是必要的,最终可以节省时间和资源。在当前的研究中,使用多尺度计算模型研究了小分子受体中心核、侧链和端基的内部或最外层位置的sp杂化氮取代的影响。量子化学分析用于研究电子行为。封端处的氮取代显著降低了电子重组能。在转移积分和激发态行为方面未观察到重大变化。然而,端基位置的氮取代是提高电子迁移率的好方法。使用机器学习预测新设计受体的功率转换效率(PCE)。还进行了分子动力学模拟,以探索受体及其与PBDB-T聚合物供体的共混物的动力学。计算了弗洛里-哈金斯参数,以研究设计的小分子受体与PBDB-T的混合情况。径向分布函数表明,PBDB-T与N3和N4的堆积更紧密。从所有分析中发现,封端基团处的氮取代是设计高效小分子受体的更好策略。