Partial density of states representation for accurate deep neural network predictions of X-ray spectra

Abstract

We introduce and demonstrate performance of partial density of states (p-DOS) descriptor as a computationally efficient approach for capturing electronic properties of machine learning models of X-ray spectroscopy.