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David A. Kofke

Researcher at State University of New York System

Publications -  188
Citations -  7408

David A. Kofke is an academic researcher from State University of New York System. The author has contributed to research in topics: Monte Carlo method & Virial coefficient. The author has an hindex of 41, co-authored 183 publications receiving 6972 citations. Previous affiliations of David A. Kofke include South Dakota School of Mines and Technology & University at Buffalo.

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Direct evaluation of phase coexistence by molecular simulation via integration along the saturation line

TL;DR: In this paper, the authors proposed a method for thermodynamic integration along a path that coincides with the saturation line, which allows the phase equilibria to be determined by just one simulation, without ever attempting or performing particle insertions.
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Gibbs-Duhem integration: a new method for direct evaluation of phase coexistence by molecular simulation

TL;DR: In this article, a method that combines the best elements of thermodynamic integration and the Gibbs ensemble technique is proposed for the direct evaluation of phase equilibria by molecular simulation, given the conditions of coexistence at a single state point, simultaneous but independent NPT simulations of each phase are performed in succession along the saturation line.
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Thermodynamic and structural properties of model systems at solid-fluid coexistence. ii: melting and sublimation of the lennard-jones system

TL;DR: In this article, the Gibbs-Duhem integration method was used to compute the melting line of the Lennard-Jones model potential, and the starting point for the integration was the soft sphere system obtained in the limit of high temperature.
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On the acceptance probability of replica-exchange Monte Carlo trials

TL;DR: It is shown that treatment of the energy distributions as Gaussians is an inappropriate way to analyze the acceptance probability, and an exact expression for the trial-move acceptance probability in terms of the overlap of these distributions is derived.
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Monte Carlo simulation of multicomponent equilibria in a semigrand canonical ensemble

TL;DR: In this paper, a general formalism and methodology are presented for the Monte Carlo simulation of equilibria in multicomponent systems, and are applied to the study of phase equilibrium in a model binary mixture, and to phase and chemical equilibrium in the ternary mixture Br2−Cl2−BrCl.