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Highly sensitive 2D X-ray absorption spectroscopy via physics informed machine learning

Physics

Highly sensitive 2D X-ray absorption spectroscopy via physics informed machine learning

Z. Li, T. Flynn, et al.

Discover groundbreaking advancements in X-ray near-edge absorption structure (XANES) imaging! This research by Zeyuan Li, Thomas Flynn, Tongchao Liu, Sizhan Liu, Wah-Keat Lee, Ming Tang, and Mingyuan Ge presents a novel deep neural network approach that enhances signal-to-noise ratios and reveals valence states of nickel and cobalt in complex materials.

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~3 min • Beginner • English

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