Exploring the optimal design space of transparent perovskite solar cells for four-terminal tandem applications through Pareto front optimization

Machine learning algorithms can enhance the design and experimental processing of solar cells, resulting in increased conversion efficiency. In this study, we introduce a novel machine learning-based methodology for optimizing the Pareto front of four-terminal (4T) perovskite-copper indium selenide...

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Bibliographic Details
Published in:	APL machine learning Vol. 2; no. 2; pp. 026111 - 026111-9
Main Authors:	Tan, Hu Quee, Zhao, Xinhai, Ambardekar, Akhil, Birgersson, Erik, Xue, Hansong
Format:	Journal Article
Language:	English
Published:	AIP Publishing LLC 01.06.2024
ISSN:	2770-9019, 2770-9019
Online Access:	Get full text
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