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

Samare Rostami, S. Alireza Ghasemi, and Stefan Goedecker
Phys. Rev. Materials 5, 123603 – Published 8 December 2021
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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.

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  • Received 10 May 2021
  • Accepted 17 November 2021

DOI:https://doi.org/10.1103/PhysRevMaterials.5.123603

©2021 American Physical Society

Physics Subject Headings (PhySH)

Condensed Matter, Materials & Applied Physics

Authors & Affiliations

Samare Rostami1,2, S. Alireza Ghasemi2, and Stefan Goedecker3,*

  • 1The Abdus Salam International Centre for Theoretical Physics, Strada Costiera 11, 34151 Trieste, Italy
  • 2Department of Physics, Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan 45137-66731, Iran
  • 3Department of Physics, University of Basel, Klingelbergstrasse 82, Basel 4056, Switzerland

  • *stefan.goedecker@unibas.ch

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Issue

Vol. 5, Iss. 12 — December 2021

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