2019
DOI: 10.1002/ente.201900974
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Performance and Matching Band Structure Analysis of Tandem Organic Solar Cells Using Machine Learning Approaches

Abstract: Organic solar cells (OSCs) based on tandem configuration have been drastically studied for boosting power conversion efficiency (PCE) in the the past decade and are a potential improvement to current commercial photovoltaic solar cell technology. Although a series of promising efficiency achievements on tandem OSCs have been reported, the crucial issue is how to estimate tandem OSCs performance based on known physical properties of different photoactive materials. Herein, a set of electronic features of photov… Show more

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Cited by 21 publications
(18 citation statements)
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“…Note that one could also use learning curves to guide hyperparameter optimizations or perform further optimization of the hyperpameter in the region of greatest interest as proposed, for example, in ref . Considering our best results in Table , we have improved the correlation r with respect to our previous work and the accuracy of our results are comparable to alternative ML methods proposed by others. …”
Section: Resultsmentioning
confidence: 54%
“…Note that one could also use learning curves to guide hyperparameter optimizations or perform further optimization of the hyperpameter in the region of greatest interest as proposed, for example, in ref . Considering our best results in Table , we have improved the correlation r with respect to our previous work and the accuracy of our results are comparable to alternative ML methods proposed by others. …”
Section: Resultsmentioning
confidence: 54%
“…No doubt, several studies about the machine learning analysis of organic solar cells have been reported. [24][25][26][27][28][29][30][31][32][33][34][35] So, the question is: how is the present study better than previously reported studies? In this regard, several aspects make our study unique.…”
Section: Introductionmentioning
confidence: 97%
“…In a few studies, just the energy levels were used to train the models and other properties were ignored. [33][34][35] In the present study, we have calculated a large number of molecular descriptors to consider the maximum structural and chemical features of the acceptor materials. More importantly, we have also predicted energy levels on the basis of experimental data.…”
Section: Introductionmentioning
confidence: 99%
“…In this regard, solar energy, a low-cost, renewable, naturally abundant and clean energy source, has attracted enormous research effort as a promising alternative to traditional energy sources ( Subramanyam et al, 2019 ; Zhong et al, 2020 ; Rabaia et al, 2021 ). Among the new-generation photovoltaic devices that convert solar energy into electricity, organic solar cells (OSCs) are being widely investigated owing to their low production cost, facile fabrication procedure, abundance of raw materials, easy scalability, lightweight, excellent flexibility and environmentally friendly nature ( Gusain et al, 2019 ; Lee, 2019 ; Li et al, 2020a ; Shah et al, 2020 ; Shoyiga et al, 2020 ; Liu et al, 2021 ).…”
Section: Introductionmentioning
confidence: 99%