Training atomic neural networks using fragment-based data generated in virtual reality. (2020)
Attributed to:
Reactive Scattering Dynamics at the Gas-Liquid Interface: Bridging the Gap between the Gas-Phase and Solution
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1063/5.0015950
PubMed Identifier: 33092381
Publication URI: http://europepmc.org/abstract/MED/33092381
Type: Journal Article/Review
Volume: 153
Parent Publication: The Journal of chemical physics
Issue: 15
ISSN: 0021-9606