Interaction-energy statistics from structural correlations

We introduce a unified statistical framework for quantifying system-environment coupling by treating the interaction energy VSE as a stochastic variable. Using our proposed reference-particle decomposition, we derive exact, closed-form expressions for the mean and variance of VSE in terms of the single-particle density and correlation functions up to fourth order. These expressions are valid throughout all coupling regimes, from strongly coupled finite systems to the weak-coupling thermodynamic limit. They connect interaction-energy statistics directly to equilibrium structural information and provide a systematic route for evaluating coupling across open system-environment boundaries. We further show how the moment framework enters free energy constructions, including the Hamiltonian of mean force and the quasichemical-theory outer-shell contribution. When the relevant interaction-energy distribution is approximately Gaussian, the first two moments determine the corresponding second-cumulant free energy estimate. To validate our framework, we performed explicit Monte Carlo simulations of a Lennard-Jones system across a range of system sizes, generating reference distributions of the system-environment interaction energy VSE. We also performed independent empty-cavity Monte Carlo calculations to validate the quasichemical outer-shell specialization. We then applied our derived analytical formulas to predict these distributions and found excellent agreement in both the weak- and strong-coupling regimes. The results demonstrate that interaction-energy distributions and the associated thermodynamic contributions can be reconstructed from microscopic structural correlations.

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Publication Details

Journal
The Journal of Chemical Physics
Published
2026-09-04
DOI
https://doi.org/10.1063/5.0352043
Primary Topic
Material Dynamics and Properties
Type
article
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article

Interaction-energy statistics from structural correlations

Christopher J. Stein, Mohammad Rahbar
The Journal of Chemical Physics
Material Dynamics and Properties
article

Interaction-energy statistics from structural correlations

Christopher J. Stein, Mohammad Rahbar
article en

Abstract

We introduce a unified statistical framework for quantifying system-environment coupling by treating the interaction energy VSE as a stochastic variable. Using our proposed reference-particle decomposition, we derive exact, closed-form expressions for the mean and variance of VSE in terms of the single-particle density and correlation functions up to fourth order. These expressions are valid throughout all coupling regimes, from strongly coupled finite systems to the weak-coupling thermodynamic limit. They connect interaction-energy statistics directly to equilibrium structural information and provide a systematic route for evaluating coupling across open system-environment boundaries. We further show how the moment framework enters free energy constructions, including the Hamiltonian of mean force and the quasichemical-theory outer-shell contribution. When the relevant interaction-energy distribution is approximately Gaussian, the first two moments determine the corresponding second-cumulant free energy estimate. To validate our framework, we performed explicit Monte Carlo simulations of a Lennard-Jones system across a range of system sizes, generating reference distributions of the system-environment interaction energy VSE. We also performed independent empty-cavity Monte Carlo calculations to validate the quasichemical outer-shell specialization. We then applied our derived analytical formulas to predict these distributions and found excellent agreement in both the weak- and strong-coupling regimes. The results demonstrate that interaction-energy distributions and the associated thermodynamic contributions can be reconstructed from microscopic structural correlations.

The Journal of Chemical PhysicsVol. 165(9)
Technical University of Munich (DE)
Affordable and clean energy
Openalex Percentile: Top 24%
Material Dynamics and Properties
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