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Evaluating accuracy of Hessian-based predictor-corrector integrators

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Abstract

Direct dynamics simulations are a useful and general approach for studying the atomistic properties of complex chemical systems because they do not require fitting an analytic potential energy function. Hessian-based predictor-corrector integrators are a widely used approach for calculating the trajectories of moving atoms in direct dynamics simulations. We employ a monodromy matrix to propose a tool for evaluating the accuracy of integrators in the trajectory calculation. We choose a general velocity Verlet as a different object. We also simulate molecular with hydrogen(CO2) and molecular with hydrogen (H2O) motions. Comparing the eigenvalues of monodromy matrix, many simulations show that Hessian-based predictor-corrector integrators perform well for Hessian updates and non-Hessian updates. Hessian-based predictor-corrector integrator with Hessian update has a strong performance in the H2O simulations. Hessian-based predictor-corrector integrator with Hessian update has a strong performance when the integrating step of the velocity Verlet approach is tripled for the predicting step. In the CO2 simulations, a strong performance occurs when the integrating step is a multiple of five.

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Correspondence to Heng Wu  (伍恒).

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Foundation item: Project(2016JJ2029) supported by Hunan Provincial Natural Science Foundation of China; Project(2016WLZC014) supported by the Open Research Fund of Hunan Provincial Key Laboratory of Network Investigational Technology; Project(2015HNWLFZ059) supported by the Open Research Fund of Key Laboratory of Network Crime Investigation of Hunan Provincial Colleges, China

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Lu, Sf., Wu, H., Colmenares, E. et al. Evaluating accuracy of Hessian-based predictor-corrector integrators. J. Cent. South Univ. 24, 1696–1702 (2017). https://doi.org/10.1007/s11771-017-3576-8

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  • DOI: https://doi.org/10.1007/s11771-017-3576-8

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