2021
DOI: 10.1016/j.jcp.2021.110338
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Convergence of stochastic-extended Lagrangian molecular dynamics method for polarizable force field simulation

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Cited by 5 publications
(17 citation statements)
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“…Langevin Thermostat and Integration Algorithm. We utilize the Langevin thermostat approach we have developed previously for thermostating polarizable models, 20 which requires us to define both dissipation Γ = diag{γ q I n , γ µ } and temperature T = diag{T q I n , T µ } parameters corresponding to the latent variables. Once defined, the "BAOAB" scheme is used to achieve efficient thermostatting 27 by propagating the equations of the extended system as follows:…”
Section: Theorymentioning
confidence: 99%
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“…Langevin Thermostat and Integration Algorithm. We utilize the Langevin thermostat approach we have developed previously for thermostating polarizable models, 20 which requires us to define both dissipation Γ = diag{γ q I n , γ µ } and temperature T = diag{T q I n , T µ } parameters corresponding to the latent variables. Once defined, the "BAOAB" scheme is used to achieve efficient thermostatting 27 by propagating the equations of the extended system as follows:…”
Section: Theorymentioning
confidence: 99%
“…15,19 In this work we further extend the iEL/SCF method for CEM by eliminating SCF cycles altogether, as we have done previously for non-reactive force field models using iEL/0-SCF. 18,20 For polarizable models, the auxiliary induced dipoles evolve under a harmonic potential that keeps their values close to the converged real dipole solution, as approximated by a one-time step estimation derived from a local-kernel mixing of the real and auxiliary variables using an optimal mixing parameter γ. This SCF-free approximation works well if the real dipole dynamics evolve on a longer timescale, well-separated from the discretized time step, so that a local-kernel mixing remains a good approximation to the true SCF solution.…”
Section: Introductionmentioning
confidence: 99%
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