Using generative adversarial networks to match experimental and simulated inelastic neutron scattering data (2022)
Attributed to:
Strategic Priorities Fund - AI for Science, Engineering, Health and Government
funded by
SPF
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.26434/chemrxiv-2022-mlrds
Publication URI: http://dx.doi.org/10.26434/chemrxiv-2022-mlrds
Type: Preprint