Data-driven Discovery of Novel High-performance Quaternary Chalcogenide Photovoltaics
Nikhil Singh, Mohammad Ubaid, Pabitra Kumar Nayak, Jiangang He, Dibyajyoti Ghosh, Chris Wolverton, and Koushik Pal

TL;DR
This study uses data-driven methods combined with advanced simulations to identify and analyze four promising quaternary chalcogenide materials with high potential for efficient photovoltaic applications.
Contribution
The paper introduces a novel approach integrating data-driven techniques with density functional theory and molecular dynamics to discover high-performance photovoltaic materials within the quaternary chalcogenide family.
Findings
Identified four compounds with optimal band gaps for visible-light absorption.
Demonstrated these materials have optical and electronic properties comparable to or better than traditional photovoltaics.
Showed defect tolerance and long carrier lifetimes indicating high potential for efficient solar cells.
Abstract
Photovoltaic materials facilitate the conversion of sunlight into electricity by harnessing the interaction between light and matter, offering an eco-friendly and cost-efficient energy solution. Combining data-driven approaches with static and time-dependent density functional theories and nonadiabatic molecular dynamics simulations, we predict 14 high-performance photoabsorber materials from a family of known quaternary semiconductors. Among these, we investigate four compounds - SrCuGdSe3, SrCuDyTe3, BaCuLaSe3, and BaCuLaTe3 in greater detail. Hybrid density functional theory calculations including spin-orbit coupling reveal that SrCuGdSe3, SrCuDyTe3, BaCuLaSe3 and BaCuLaTe3 possess direct band gaps of 1.65, 1.79, 1.05, and 1.01 eV, respectively. These band gap values lie close to an optimal range ideal for visible-light absorption. Consequently, the calculated optical absorption…
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