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Novel polymorphs and polytypes of lithium chloride from structure predictions based on charge equilibration via neural network technique

Rostami, Samare and Ghasemi, S. Alireza and Goedecker, Stefan. (2021) Novel polymorphs and polytypes of lithium chloride from structure predictions based on charge equilibration via neural network technique. Physical Review Materials, 5 (12). p. 123603.

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Official URL: https://edoc.unibas.ch/86400/

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Abstract

By an extensive structural search using the minima hopping method together with the charge equilibration via neural network technique (CENT) artificial neural network potential, we find several novel lithium chloride structures. Besides reproducing the known low energy phases of LiCl, the structural search reveals 86 new phases of which 42 are energetically lower than the rocksalt phase. We classify our structures based on their structural similarities. While many of them can be considered as polytypes of known structures, there are also entirely unexpected low-density polymorphs that contain empty cages and channels.
Faculties and Departments:05 Faculty of Science > Departement Physik > Physik > Physik (Goedecker)
UniBasel Contributors:Goedecker, Stefan
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:American Physical Society
e-ISSN:2475-9953
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:12 Apr 2022 07:41
Deposited On:12 Apr 2022 07:41

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