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/10.48550/arxiv.2007.02824
Publication URI: https://arxiv.org/abs/2007.02824
Type: Other