Machine learning prediction of 2D perovskite photovoltaics and interaction with energetic ion implantation
Author:
Affiliation:
1. School of Physics, Northwest University, Xi'an 710127, China
Funder
National Natural Science Foundation of China
Publisher
AIP Publishing
Subject
Physics and Astronomy (miscellaneous)
Link
https://aip.scitation.org/doi/pdf/10.1063/5.0072745
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1. Hybrid perovskites for photovoltaics: Insights from first principles
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3. See https://www.nrel.gov/pv/cell-efficiency.html for “ Best Research-Cell Efficiency Chart” (NREL, last accessed July 26, 2021).
4. Perovskite Chalcogenides with Optimal Bandgap and Desired Optical Absorption for Photovoltaic Devices
5. Lead-Free Mixed Tin and Germanium Perovskites for Photovoltaic Application
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