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富勒烯衍生物作为聚合物太阳能电池电子受体的定量构效关系建模:阐明对器件性能起关键作用的官能团。

Quantitative structure-property relationship modeling of the C fullerene derivatives as electron acceptors of polymer solar cells: Elucidating the functional groups critical for device performance.

机构信息

Bashkir State University, 32 Z. Validi Str., Ufa, 450076, Russian Federation.

Bashkir State University, 32 Z. Validi Str., Ufa, 450076, Russian Federation.

出版信息

J Mol Graph Model. 2019 May;88:49-61. doi: 10.1016/j.jmgm.2018.12.013. Epub 2018 Dec 31.

Abstract

Using the GUSAR 2013 program, we have performed a quantitative analysis of the "structure-power conversion efficiency (PCE)" on the series of 100 methano[60]fullerenes previously tested as acceptor components of bulk-heterojunction polymer organic solar cells (PSCs) utilizing the same donor polymer, viz. poly(3-hexylthiophene). Based on the MNA and QNA descriptors and self-consistent regression implemented in the program, six statistically significant consensus models for predicting the PCE values of the methano[60]fullerene-based PSCs have been constructed. The structural fragments of the fullerene compounds leading to an increase in the device performances are determined. Based on these structural descriptors, we have designed the three methano[60]fullerenes included in the training sets and characterized by poor optoelectrical properties is performed. As a result, two new compounds with potentially moderate efficiency have been proposed. This result opens opportunities of using the GUSAR 2013 program for modeling of the "structure-PCE" relationship for diverse compounds (not only fullerene derivatives).

摘要

利用 GUSAR 2013 程序,我们对之前作为利用相同给体聚合物(聚(3-己基噻吩))的体异质结聚合物有机太阳能电池(PSC)的受主组件进行了 100 个甲氧基[60] fullerene 的“结构-功率转换效率(PCE)”的定量分析。基于 MNA 和 QNA 描述符以及程序中实现的自洽回归,构建了六个用于预测基于甲氧基[60] fullerene 的 PSC 的 PCE 值的统计学上显著的共识模型。确定了导致器件性能提高的富勒烯化合物的结构片段。基于这些结构描述符,我们对包含在训练集中且光电性能较差的三个甲氧基[60] fullerene 进行了设计和表征。结果,提出了两种具有潜在中等效率的新化合物。该结果为使用 GUSAR 2013 程序对不同化合物(不仅是富勒烯衍生物)的“结构-PCE”关系进行建模提供了机会。

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