AuCo nanoparticles: ordering, magnetisation, and morphology trends predicted by DFT. (2022)

First Author: Farkaš B
Attributed to:  Integrated Computational Solutions for Catalysis funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1039/d2cp00648k

PubMed Identifier: 35441635

Publication URI: http://europepmc.org/abstract/MED/35441635

Type: Journal Article/Review

Volume: 24

Parent Publication: Physical chemistry chemical physics : PCCP

Issue: 17

ISSN: 1463-9076