Prediction of pce of fullerene (c60) derivatives as polymer solar cell acceptors by genetic algorithm-multiple linear regression

Journal of Industrial and Engineering Chemistry

Volumn 21, Issue , 2015, Pages 1058-1067

  Pourbasheer, Eslam ^a   Banaei, Alireza ^b   Aalizadeh, Reza ^c   Ganjali, Mohammad Reza ^d   Norouzi, Parviz ^d   Shadmanesh, Javad ^c   Methenitis, Constantinos ^c  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

^b PAYAME NOOR UNIVERSITY   (Iran)

^c UNIVERSITY OF ATHENS   (Greece)

^d UNIVERSITY OF TEHRAN   (Iran)

Author keywords

Fullerene; Genetic algorithm; Power conversion efficiency; QSPR; Solar cells

Indexed keywords

ALGORITHMS; CONVERSION EFFICIENCY; FULLERENES; GENETIC ALGORITHMS; LINEAR REGRESSION; QUANTUM CHEMISTRY; STATISTICAL TESTS;

FULLERENE DERIVATIVE; MOLECULAR DESCRIPTORS; MULTIPLE LINEAR REGRESSIONS; POWER CONVERSION EFFICIENCIES; PREDICTIVE ABILITIES; QSPR; QUANTITATIVE STRUCTURE - PROPERTY RELATIONSHIPS; QUANTUM CHEMICAL DESCRIPTORS;

SOLAR CELLS;

EID: 84920710493     PISSN: 1226086X     EISSN: 22345957     Source Type: Journal    
DOI: 10.1016/j.jiec.2014.05.016     Document Type: Article

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