Literature DB >> 30660983

Quantitative structure-property relationship modeling of the C60 fullerene derivatives as electron acceptors of polymer solar cells: Elucidating the functional groups critical for device performance.

Yuliya Z Martynova1, Veronika R Khairullina2, Yulya N Biglova1, Akhat G Mustafin3.   

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).
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  GUSAR 2013; Power conversion efficiency; QNA- and MNA-descriptors; Quantitative structure–property relationship models; [60]PCBM; methano[60]fullerene

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Year:  2018        PMID: 30660983     DOI: 10.1016/j.jmgm.2018.12.013

Source DB:  PubMed          Journal:  J Mol Graph Model        ISSN: 1093-3263            Impact factor:   2.518


  2 in total

1.  QSAR Assessing the Efficiency of Antioxidants in the Termination of Radical-Chain Oxidation Processes of Organic Compounds.

Authors:  Veronika Khairullina; Irina Safarova; Gulnaz Sharipova; Yuliya Martynova; Anatoly Gerchikov
Journal:  Molecules       Date:  2021-01-14       Impact factor: 4.411

2.  QSPR Modeling and Experimental Determination of the Antioxidant Activity of Some Polycyclic Compounds in the Radical-Chain Oxidation Reaction of Organic Substrates.

Authors:  Veronika Khairullina; Yuliya Martynova; Irina Safarova; Gulnaz Sharipova; Anatoly Gerchikov; Regina Limantseva; Rimma Savchenko
Journal:  Molecules       Date:  2022-10-02       Impact factor: 4.927

  2 in total

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