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Probing Surface Degradation Pathways of Charged Nickel-Oxide Cathode Materials Using Machine-Learning Interatomic Potentials. (2025)

First Author: Both S
Attributed to:  HIGH END COMPUTING MATERIALS CHEMISTRY CONSORTIUM funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1021/acsami.5c11818

PubMed Identifier: 40994259

Publication URI: http://europepmc.org/abstract/MED/40994259

Type: Journal Article/Review

Volume: 17

Parent Publication: ACS applied materials & interfaces

Issue: 40

ISSN: 1944-8244