A Deep Neural Network for Valence-to-Core X-ray Emission Spectroscopy

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posted on 2022-06-27, 10:34 authored by Thomas PenfoldThomas Penfold, Conor Rankine

This data is used to extend our XANESNET deep neural network (DNN) to predict the lineshape of first-row transition metal K-edge valence-to-core X-ray emission (VtC-XES) spectra.

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X-ray Spectroscopy Valence-to-Core Emission Machine Learning Deep Neural Networks Uncertainty and Error Transition Metals

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CC BY 4.0

A Deep Neural Network for Valence-to-Core X-ray Emission Spectroscopy

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