Communications Physics (Mar 2023)

Inverse Hamiltonian design by automatic differentiation

  • Koji Inui,
  • Yukitoshi Motome

DOI
https://doi.org/10.1038/s42005-023-01132-0
Journal volume & issue
Vol. 6, no. 1
pp. 1 – 8

Abstract

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Obtaining a Hamiltonian that produces desired physical properties is important in materials design, that is, however, a highly nontrivial process since the parameter space is usually unknown a priori. Here, the authors present a general theoretical framework based on the inverse problem that uses automatic differentiation to construct a Hamiltonian with the desired physical properties.