High accuracy and transferability of a neural network potential through charge equilibration for calcium fluoride

Somayeh Faraji, S. Alireza Ghasemi, Samare Rostami, Robabe Rasoulkhani, Bastian Schaefer, Stefan Goedecker, and Maximilian Amsler
Phys. Rev. B 95, 104105 – Published 16 March 2017

Abstract

We investigate the accuracy and transferability of a recently developed high-dimensional neural network (NN) method for calcium fluoride, fitted to a database of ab initio density functional theory (DFT) calculations based on the Perdew-Burke-Ernzerhof (PBE) exchange correlation functional. We call the method charge equilibration via neural network technique (CENT). Although the fitting database contains only clusters (i.e., nonperiodic structures), the NN scheme accurately describes a variety of bulk properties. In contrast to other available empirical methods the CENT potential has a much simpler functional form, nevertheless it correctly reproduces the PBE energetics of various crystalline phases both at ambient and high pressure. Surface energies and structures as well as dynamical properties derived from phonon calculations are also in good agreement with PBE results. Overall, the difference between the values obtained by the CENT potential and the PBE reference values is less than or equal to the difference between the values of local density approximation (LDA) and Born-Mayer-Huggins (BMH) with those calculated by the PBE exchange correlation functional.

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  • Received 14 November 2016
  • Revised 15 January 2017

DOI:https://doi.org/10.1103/PhysRevB.95.104105

©2017 American Physical Society

Physics Subject Headings (PhySH)

Atomic, Molecular & OpticalNetworks

Authors & Affiliations

Somayeh Faraji1, S. Alireza Ghasemi1,*, Samare Rostami1, Robabe Rasoulkhani1, Bastian Schaefer2, Stefan Goedecker2, and Maximilian Amsler3

  • 1Institute for Advanced Studies in Basic Sciences, P.O. Box 45195-1159, Zanjan, Iran
  • 2Department of Physics, Klingelbergstrasse 82, 4056 Basel, Switzerland
  • 3Department of Materials Science and Engineering, Northwestern University, Evanston, Illinois 60208, USA

  • *aghasemi@iasbs.ac.ir

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Issue

Vol. 95, Iss. 10 — 1 March 2017

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