Following on our previous work [S. Delong, B. E. Griffith, E. Vanden-Eijnden, and A. Donev, Phys. Rev. E 87, 033302 (2013)], we develop temporal integrators for solving Langevin stochastic differential equations that arise in fluctuating hydrodynamics. Our simple predictor-corrector schemes add fluctuations to standard second-order deterministic solvers in a way that maintains second-order weak accuracy for linearized fluctuating hydrodynamics. We construct a general class of schemes and recommend two specific schemes: an explicit midpoint method and an implicit trapezoidal method. We also construct predictor-corrector methods for integrating the overdamped limit of systems of equations with a fast and slow variable in the limit of infinite...
Langevin simulation provides an effective way to study collisional effects in beams by reducing the ...
Generating an initial condition for a Langevin equation with memory is a non trivial issue.We introd...
In this article, we present several algorithms for stochastic dynamics, including Langevin dynamics ...
We formulate low Mach number fluctuating hydrodynamic equations appropriate for modeling diffusive m...
This paper describes the development and analysis of finite-volume methods for the Landau–Lifshitz N...
Many complex fluids can be described by continuum hydrodynamic field equations, to which noise must ...
A Generalized Langevin Equation with exponential memory is proposed for the dynamics of a massive in...
The Generalized Langevin Equation, in history, arises as a natural fix for the rather traditional La...
A nonlinear diffusion approximation for a previously derived master equation describing an inhomogen...
We present a numerical formulation for the solution of non-isothermal, compressible, Navier-Stokes e...
This paper introduces an adaptive mesh and algorithmrefinement method for fluctuating hydrodynamics....
Common algorithms for computationally simulating Langevin dynamics must discretize the stochastic di...
Fluctuations in a fluid are strongly affected by the presence of a macroscopic gradient making them ...
ABSTRACT: When simulating molecular systems using deterministic equations of motion (e.g., Newtonian...
Formally, we consider the continuum field of conserved quantities U(r, t) = ρj e ∼ = Ũ(r, t) =...
Langevin simulation provides an effective way to study collisional effects in beams by reducing the ...
Generating an initial condition for a Langevin equation with memory is a non trivial issue.We introd...
In this article, we present several algorithms for stochastic dynamics, including Langevin dynamics ...
We formulate low Mach number fluctuating hydrodynamic equations appropriate for modeling diffusive m...
This paper describes the development and analysis of finite-volume methods for the Landau–Lifshitz N...
Many complex fluids can be described by continuum hydrodynamic field equations, to which noise must ...
A Generalized Langevin Equation with exponential memory is proposed for the dynamics of a massive in...
The Generalized Langevin Equation, in history, arises as a natural fix for the rather traditional La...
A nonlinear diffusion approximation for a previously derived master equation describing an inhomogen...
We present a numerical formulation for the solution of non-isothermal, compressible, Navier-Stokes e...
This paper introduces an adaptive mesh and algorithmrefinement method for fluctuating hydrodynamics....
Common algorithms for computationally simulating Langevin dynamics must discretize the stochastic di...
Fluctuations in a fluid are strongly affected by the presence of a macroscopic gradient making them ...
ABSTRACT: When simulating molecular systems using deterministic equations of motion (e.g., Newtonian...
Formally, we consider the continuum field of conserved quantities U(r, t) = ρj e ∼ = Ũ(r, t) =...
Langevin simulation provides an effective way to study collisional effects in beams by reducing the ...
Generating an initial condition for a Langevin equation with memory is a non trivial issue.We introd...
In this article, we present several algorithms for stochastic dynamics, including Langevin dynamics ...