Sparse representation for a potential energy surface

Atsuto Seko, Akira Takahashi, and Isao Tanaka
Phys. Rev. B 90, 024101 – Published 10 July 2014

Abstract

We propose a simple scheme to estimate the potential energy surface (PES) for which the accuracy can be easily controlled and improved. It is based on model selection within the framework of linear regression using the least absolute shrinkage and selection operator (LASSO) technique. Basis functions are selected from a systematic large set of candidate functions. The sparsity of the PES significantly reduces the computational cost of evaluating the energy and force in molecular dynamics simulations without losing accuracy. The usefulness of the scheme for describing the elemental metals Na and Mg is clearly demonstrated.

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  • Received 2 April 2014
  • Revised 25 June 2014

DOI:https://doi.org/10.1103/PhysRevB.90.024101

©2014 American Physical Society

Authors & Affiliations

Atsuto Seko1,2,*, Akira Takahashi1, and Isao Tanaka1,2,3

  • 1Department of Materials Science and Engineering, Kyoto University, Kyoto 606-8501, Japan
  • 2Center for Elements Strategy Initiative for Structure Materials (ESISM), Kyoto University, Kyoto 606-8501, Japan
  • 3Nanostructures Research Laboratory, Japan Fine Ceramics Center, Nagoya 456-8587, Japan

  • *seko@cms.mtl.kyoto-u.ac.jp

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Issue

Vol. 90, Iss. 2 — 1 July 2014

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