Entropy-based active learning of graph neural network surrogate models for materials properties. (2021)
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/10.1063/5.0065694
PubMed Identifier: 34742215
Publication URI: http://europepmc.org/abstract/MED/34742215
Type: Journal Article/Review
Volume: 155
Parent Publication: The Journal of chemical physics
Issue: 17
ISSN: 0021-9606