Exploring the configurational space of amorphous graphene with machine-learned atomic energies (2022)
Attributed to:
Modelling and understanding the structure of graphene oxide materials with machine-learning-driven simulations
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1039/d2sc04326b
PubMed Identifier: 36544732
Publication URI: http://europepmc.org/abstract/MED/36544732
Type: Journal Article/Review
Parent Publication: Chemical Science
Issue: 46
ISSN: 2041-6520