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February 14, 2026The Journal of Chemical Physics0 citationsOpen Access

Shadow molecular dynamics for flexible multipole models

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RGRae A. Corrigan GroveRSRobert V. StantonMWMichael E. Wall

Key Points

  • The aim is to develop shadow molecular dynamics for flexible multipole models including monopole and dipole interactions.
  • Developed expressions for shadow energy functions for multipole interactions.
  • Incorporated fixed monopole charges while allowing flexible dipole degrees of freedom.
  • Conducted simulations to evaluate the stability and accuracy of the new approach.
  • Demonstrated that flexibility in dipole degrees of freedom maintains stability and accuracy.
  • Showed computational efficiency compared to traditional methods for long-range interactions.

Abstract

Shadow molecular dynamics provide an efficient and stable atomistic simulation framework for flexible charge models with long-range electrostatic interactions. Shadow molecular dynamics simulations are driven by approximate “shadow” Born–Oppenheimer potentials for which the exact charges and forces are directly accessible without relying on costly (and approximate) iterative solvers. While previous implementations have been limited to atomic monopole charge distributions, we extend this approach to flexible multipole models. We derive detailed expressions for the shadow energy functions, potentials, and force terms, explicitly incorporating monopole–monopole, dipole–monopole, and dipole–dipole interactions. In our formulation, both atomic monopoles and atomic dipoles are treated as extended dynamical variables alongside the propagation of the nuclear degrees of freedom. We demonstrate that introducing the additional dipole degrees of freedom preserves the stability and accuracy previously seen in monopole-only shadow molecular dynamics simulations. In addition, we present a shadow molecular dynamics scheme where the monopole charges are held fixed while the dipoles remain flexible. Our extended shadow dynamics provide a framework for stable, computationally efficient, and versatile molecular dynamics simulations involving long-range interactions between flexible multipoles. This is of particular current interest in combination with machine-learned interatomic potentials, including long-range electrostatic interactions.

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Cite This Study

Grove et al. (2026) studied this question.

synapsesocial.com/papers/699012032ccff479cfe58ae6https://doi.org/10.1063/5.0307700
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