Training atomic neural networks using fragment-based data generated in virtual reality (2020)

First Author: Amabilino S

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