Machine learning-assisted high-throughput prediction and experimental validation of high-responsivity extreme ultraviolet detectors

Machine learning-assisted high-throughput prediction and experimental validation of high-responsivity extreme ultraviolet detectors

Abstract Identifying materials with optimal optoelectronic properties for targeted applications represents both a critical need and a persistent challenge in optoelectronic device engineering. Machine learning models often depend on extensive datasets, which are typically lacking in specialized rese...

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Main Authors: R. A. W. Ayyubi, Mei Xian Low, Salar Salimi, Majid Khorsandi, M. Mosarof Hossain, Hurriyat Arooj, Shoaib Masood, M. Husnain Zeb, Nasir Mahmood, Qiaoliang Bao, Sumeet Walia, Babar Shabbir
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-025-60499-6
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https://doi.org/10.1038/s41467-025-60499-6

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