A reversible numerical integrator of the isokinetic equations of motion
Dimitri Laikov

TL;DR
This paper introduces a reversible, second-order numerical integrator for the isokinetic equations of motion, enabling accurate, adaptive simulations for thermodynamic and structural analysis of molecular systems.
Contribution
It presents a novel explicit integrator based on circular arc fitting that is reversible, robust, and suitable for adaptive step size control in molecular dynamics.
Findings
Accurately computes thermodynamic properties of simple models.
Effectively finds stable structures in hydrogen-bonded clusters.
Demonstrates robustness and efficiency of the integrator.
Abstract
An explicit second-order numerical method to integrate the isokinetic equations of motion is derived by fitting circular arcs through every three consecutive points of the discretized trajectory, so that the tangent and the curvature satisfy the equations exactly at every central point. This scheme is reversible and robust, and allows an adaptive step size control. Its performance is tested by computing the thermodynamic properties of simple pair-potential models, and its chemical application is shown for the global search for stable structures, using canonical sampling and energy minimization, of hydrogen-bonded molecular clusters.
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