2016
DOI: 10.1063/1.4962419
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From generalized Langevin equations to Brownian dynamics and embedded Brownian dynamics

Abstract: We present the reduction of generalized Langevin equations to a coordinateonly stochastic model, which in its exact form, involves a forcing term with memory and a general Gaussian noise. It will be shown that a similar fluctuation-dissipation theorem still holds at this level. We study the approximation by the typical Brownian dynamics as a first approximation. Our numerical test indicates how the intrinsic frequency of the kernel function influences the accuracy of this approximation. In the case when such a… Show more

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Cited by 10 publications
(12 citation statements)
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“…We present the idealized equilibrium derivation to connect with the widely read textbook literature (Jackson 1999) and to provide enough detail so others may learn to extend the derivation to the nonequilibrium case relevant to devices and other systems with long-range current flow, driven by (for example) spatially inhomogeneous boundary conditions, with (for example) different potentials at different locations on their boundaries. Temporal averaging is another approach, under intensive study by Chun Liu and associates (Ma, Li et al 2016a, Ma, Li et al 2016b).…”
Section: Macroscopic Charge Density and Gauss' Law In Isolated Ideali...mentioning
confidence: 99%
“…We present the idealized equilibrium derivation to connect with the widely read textbook literature (Jackson 1999) and to provide enough detail so others may learn to extend the derivation to the nonequilibrium case relevant to devices and other systems with long-range current flow, driven by (for example) spatially inhomogeneous boundary conditions, with (for example) different potentials at different locations on their boundaries. Temporal averaging is another approach, under intensive study by Chun Liu and associates (Ma, Li et al 2016a, Ma, Li et al 2016b).…”
Section: Macroscopic Charge Density and Gauss' Law In Isolated Ideali...mentioning
confidence: 99%
“…The chaotic nature of the Newtonian dynamics, which in the long time drives the system to a stochastic equilibrium state, is recovered in the first-order in time dynamics through the use of an additive noise term, carefully chosen to guarantee that the system converges to the correct thermodynamical state in the long-time limit. While this approach has been widely used in studying the dynamics of soft matter systems as well as in biomolecular simulations [44,45,46], it has, to our knowledge, never been employed for the simulation of crystalline materials. In this section, we report the main equations used in the model.…”
Section: Modeling Approachmentioning
confidence: 99%
“…Ferry [84,85] provides a fine modern treatment of a classical literature [231] that includes [232][233][234][235]. This approach was extended to ions in channels by Schuss and collaborators [236] using the theory of stochastic processes (e.g., an adaption of renewal theory) to deal with the complicated shot noise produced when several types of ions move through channels, each with a different current voltage relation that is not independent. Each varies with concentration of every type of ion.…”
Section: Molecular Dynamicsmentioning
confidence: 99%
“…What is needed to provide atomic resolution of particle motion (in my opinion) is a molecular dynamics that exploits the special properties of total current, perhaps using the averaging-in-time methods introduced by Ma and Liu [235,236] that yield the Poisson Nernst Planck model as an approximation [237]. Or perhaps by introducing a quasi-particle, a conducton that automatically satisfies equality of total current in a series system.…”
Section: Updating the Maxwell Equationsmentioning
confidence: 99%