16 citations · 39 across the 7 of their papers we have counts for
Showing 2024Show all
2 papers · 1 filter
physics.atm-clus2024
Encoder-Decoder Neural Networks in Interpretation of X-ray Spectra
Jalmari Passilahti, Anton Vladyka, Johannes Niskanen
Encoder--decoder neural networks (EDNN) condense information most relevant to the output of the feedforward network to activation values at a bottleneck layer. We study the use of…
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…