Bandgap Engineering in the Configurational Space of Solid Solutions via Machine Learning: (Mg,Zn)O Case Study. (2021)
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/acs.jpclett.1c01031
PubMed Identifier: 34032426
Publication URI: http://europepmc.org/abstract/MED/34032426
Type: Journal Article/Review
Volume: 12
Parent Publication: The journal of physical chemistry letters
Issue: 21
ISSN: 1948-7185