In silico investigation of Cu(In,Ga)Se2-based solar cells
Mirhosseini H, Raghupathy RKM, Sahoo SK, Wiebeler H, Chugh M, Kühne TD (2020)
Publication Type: Journal article
Publication year: 2020
Journal
Book Volume: 22
Pages Range: 26682-26701
Journal Issue: 46
DOI: 10.1039/d0cp04712k
Abstract
Photovoltaics is one of the most promising and fastest-growing renewable energy technologies. Although the price-performance ratio of solar cells has improved significantly over recent years, further systematic investigations are needed to achieve higher performance and lower cost for future solar cells. In conjunction with experiments, computer simulations are powerful tools to investigate the thermodynamics and kinetics of solar cells. Over the last few years, we have developed and employed advanced computational techniques to gain a better understanding of solar cells based on copper indium gallium selenide (Cu(In,Ga)Se2). Furthermore, we have utilized state-of-the-art data-driven science and machine learning for the development of photovoltaic materials. In this Perspective, we review our results along with a survey of the field.
Involved external institutions
Germany (DE)How to cite
APA:
Mirhosseini, H., Raghupathy, R.K.M., Sahoo, S.K., Wiebeler, H., Chugh, M., & Kühne, T.D. (2020). In silico investigation of Cu(In,Ga)Se2-based solar cells. Physical Chemistry Chemical Physics, 22(46), 26682-26701. https://doi.org/10.1039/d0cp04712k
MLA:
Mirhosseini, Hossein, et al. "In silico investigation of Cu(In,Ga)Se2-based solar cells." Physical Chemistry Chemical Physics 22.46 (2020): 26682-26701.
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