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MD Simulation of Water Using a Rigid Body Description Requires a Small Time Step to Ensure Equipartition
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    MD Simulation of Water Using a Rigid Body Description Requires a Small Time Step to Ensure Equipartition
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    Journal of Chemical Theory and Computation

    Cite this: J. Chem. Theory Comput. 2024, 20, 1, 368–374
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    https://doi.org/10.1021/acs.jctc.3c01153
    Published December 29, 2023
    Copyright © 2023 American Chemical Society

    Abstract

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    In simulations of aqueous systems, it is common to freeze the bond vibration and angle bending modes in water to allow for a longer time step δt for integrating the equations of motion. Thus, δt = 2 fs is often used in simulating rigid models of water. We simulate the SPC/E model of water using δt from 0.5 to 3.0 fs and up to 4 fs using hydrogen mass repartitioning. In these simulations, we find that for all but δt = 0.5 fs, equipartition is not obtained between translational and rotational modes, with the rotational modes exhibiting a lower temperature than the translation modes. To probe the reasons for the lack of equipartition, we study the autocorrelation of the translational velocity of the center of mass and the angular velocity of the rigid water molecule, respectively. We find that the rotational relaxation occurs on a timescale comparable to vibrational periods, calling into question the original motivations for freezing the vibrations. Furthermore, a time step with δt ≥ 1 fs is not able to capture accurately the fast rotational relaxation, which reveals its impact as an effective slowing-down of rotational relaxation. The fluctuation–dissipation relation then leads to the conclusion that the rotational temperature should be cooler for δt greater than the reference value of 0.5 fs. Consideration of fluctuation–dissipation in equilibrium molecular dynamics simulations also emphasizes the need to capture the temporal evolution of fluctuations with fidelity and the role of δt in this regard. The time step also influences the solution thermodynamic properties: both the mean system potential energies and the excess entropy of hydration of a soft repulsive cavity are sensitive to δt.

    Copyright © 2023 American Chemical Society

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    Supporting Information

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    The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jctc.3c01153.

    • Simulation systems, codes, time steps, calculation of translational and rotational kinetic energy, calculation of the hydration-free energy of a soft repulsive cavity, tabulated data for results in Figure 1, data for relative velocity along constrained bonds, sampling of the shadow Hamiltonian, translational and rotational energy in NVE simulations using either a constraint algorithm or rigid body dynamics, influence of the proton mass for δt = 4 fs, and mean squared displacement for translational diffusion coefficient (PDF)

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    This article is cited by 7 publications.

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    Journal of Chemical Theory and Computation

    Cite this: J. Chem. Theory Comput. 2024, 20, 1, 368–374
    Click to copy citationCitation copied!
    https://doi.org/10.1021/acs.jctc.3c01153
    Published December 29, 2023
    Copyright © 2023 American Chemical Society

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