Accurate, affordable, and generalizable machine learning simulations of transition metal x-ray absorption spectra using the XANESNET deep neural network. (2022)
Attributed to:
International Network on Polyoxometalate Science for Advanced Functional Energy Materials
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1063/5.0087255
PubMed Identifier: 35490005
Publication URI: http://europepmc.org/abstract/MED/35490005
Type: Journal Article/Review
Volume: 156
Parent Publication: The Journal of chemical physics
Issue: 16
ISSN: 0021-9606