16 citations · 39 across the 7 of their papers we have counts for
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physics.chem-ph2024★ 4 cited
Structural Descriptors and Information Extraction from X-ray Emission Spectra: Aqueous Sulfuric Acid
E. A. Eronen, A. Vladyka, Ch. J. Sahle +1
Machine learning can reveal new insights into X-ray spectroscopy of liquids when the local atomistic environment is presented to the model in a suitable way. Many unique structural…
physics.chem-ph2021★ 11 cited
Machine learning in interpretation of electronic core-level spectra
Johannes Niskanen, Anton Vladyka, J. Antti Kettunen +1
Electronic transitions involving core-level orbitals offer a localized, atomic-site and element specific peek window into statistical systems such as molecular liquids. Although fo…