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Finding and proving the exact ground state of a generalized Ising model by convex optimization and MAX-SAT

Wenxuan Huang, Daniil A. Kitchaev, Stephen T. Dacek, Ziqin Rong, Alexander Urban, Shan Cao, Chuan Luo, and Gerbrand Ceder
Phys. Rev. B 94, 134424 – Published 21 October 2016

Abstract

Lattice models, also known as generalized Ising models or cluster expansions, are widely used in many areas of science and are routinely applied to the study of alloy thermodynamics, solid-solid phase transitions, magnetic and thermal properties of solids, fluid mechanics, and others. However, the problem of finding and proving the global ground state of a lattice model, which is essential for all of the aforementioned applications, has remained unresolved for relatively complex practical systems, with only a limited number of results for highly simplified systems known. In this paper, we present a practical and general algorithm that provides a provable periodically constrained ground state of a complex lattice model up to a given unit cell size and in many cases is able to prove global optimality over all other choices of unit cell. We transform the infinite-discrete-optimization problem into a pair of combinatorial optimization (MAX-SAT) and nonsmooth convex optimization (MAX-MIN) problems, which provide upper and lower bounds on the ground state energy, respectively. By systematically converging these bounds to each other, we may find and prove the exact ground state of realistic Hamiltonians whose exact solutions are difficult, if not impossible, to obtain via traditional methods. Considering that currently such practical Hamiltonians are solved using simulated annealing and genetic algorithms that are often unable to find the true global energy minimum and inherently cannot prove the optimality of their result, our paper opens the door to resolving longstanding uncertainties in lattice models of physical phenomena. An implementation of the algorithm is available at https://github.com/dkitch/maxsat-ising.

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  • Received 28 April 2015
  • Revised 30 May 2016

DOI:https://doi.org/10.1103/PhysRevB.94.134424

Published by the American Physical Society under the terms of the Creative Commons Attribution 3.0 License. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.

Published by the American Physical Society

Physics Subject Headings (PhySH)

Condensed Matter, Materials & Applied Physics

Authors & Affiliations

Wenxuan Huang1, Daniil A. Kitchaev1, Stephen T. Dacek1, Ziqin Rong1, Alexander Urban3, Shan Cao1, Chuan Luo2, and Gerbrand Ceder1,3,4,*

  • 1Department of Material Science and Engineering, Massachusetts Institute of Technology, Massachusetts 02139, USA
  • 2Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China
  • 3Department of Materials Science and Engineering, University of California, Berkeley, Berkeley, California 94720, USA
  • 4Materials Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA

  • *gceder@berkeley.edu

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Issue

Vol. 94, Iss. 13 — 1 October 2016

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