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Published December 5, 2019 | Supplemental Material
Journal Article Open

Proper Thermal Equilibration of Simulations with Drude Polarizable Models: Temperature Grouped Dual-Nosé-Hoover Thermostat

Abstract

An explicit treatment of electronic polarization is critically important to accurate simulations of highly charged or interfacial systems. Compared to the iterative self consistent field (SCF) scheme, extended Lagrangian approaches are computationally more efficient for simulations that employ a polarizable force field. However, an appropriate thermostat must be chosen to minimize heat flow and ensure an equipartition of kinetic energy among all unconstrained system degrees of freedom. Here we investigate the effects of different thermostats on the simulation of condensed phase systems with the Drude polarizable force field using several examples that include water, NaCl/water, acetone and an ionic liquid (IL) BMIM⁺/BF⁻₄. We show that conventional dual-temperature thermostat schemes often suffer from violation of equipartitioning, leading to considerable errors in both static and dynamic properties. Heat flow from the real degrees of freedom to the Drude degrees of freedom leads to a steady temperature gradient and puts the system at an incorrect effective temperature. Systems with high-frequency internal degrees of freedom such as planar improper dihedrals or C-H bond stretches are most vulnerable; this issue has been largely overlooked in the literature due to the primary focus on simulations of rigid water molecules. We present a new temperature-grouped dual Nose-Hoover thermostat, where the molecular center of mass translations are assigned to a temperature group separated from the rest degrees of freedom. We demonstrate that this scheme predicts correct static and dynamic properties for all the systems tested here, regardless of the thermostat coupling strength. This new thermostat has been implemented into the GPU-accelerated OpenMM simulation package and maintains a significant speed up relative to the SCF scheme.

Additional Information

© 2019 American Chemical Society. Received: October 10, 2019; Accepted: November 14, 2019; Published: November 14, 2019. This work was supported in part by US Department of Energy, Basic Energy Sciences under grant DE-SC0017877, the University of Wisconsin Materials Research Science and Engineering Center under grant DMR-1121288, the National Science Foundation under grant CHE-1664906 and grant CHE-1829555. Computational resources were provided by the Center for High Throughput Computing at the University of Wisconsin and the Extreme Science and Engineering Discovery Environment (XSEDE), which is supported by National Science Foundation grant number ACI-1548562. We also acknowledge NVIDIA Corporation for the donation of Titan Xp GPU card used for this research. The authors declare no competing financial interest.

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August 19, 2023
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