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Langevin simulation provides an effective way to study collisional effects in beams by reducing the six-dimensional Fokker-Planck equation to a group of stochastic ordinary differential equations. These resulting equations usually have…

加速器物理 · 物理学 2007-05-23 Ji Qiang , Salman Habib

An algorithm is derived for computer simulation of geodesics on the constant potential-energy hypersurface of a system of N classical particles. First, a basic time-reversible geodesic algorithm is derived by discretizing the geodesic…

软凝聚态物质 · 物理学 2013-01-29 Trond S. Ingebrigtsen , Søren Toxvaerd , Ole J. Heilmann , Thomas B. Schrøder , Jeppe C. Dyre

Using experiments on a colloidal particle trapped in an optical tweezer, we confirm a recent proposal to increase the effective mobility or clock rate of systems described by Langevin dynamics, by simultaneously scaling deterministic forces…

统计力学 · 物理学 2026-03-05 Prithviraj Basak , Stephen Whitelam , John Bechhoefer

We numerically investigate an adaptive version of the parareal algorithm in the context of molecular dynamics. This adaptive variant has been originally introduced in [F. Legoll, T. Lelievre and U. Sharma, SISC 2022]. We focus here on test…

数值分析 · 数学 2022-12-21 Olga Gorynina , Frederic Legoll , Tony Lelievre , Danny Perez

We study sampling as optimization in the space of measures. We focus on gradient flow-based optimization with the Langevin dynamics as a case study. We investigate the source of the bias of the unadjusted Langevin algorithm (ULA) in…

最优化与控制 · 数学 2018-06-08 Andre Wibisono

The Langevin dynamics is a diffusion process extensively used, in particular in molecular dynamics simulations, to sample Gibbs measures. Some alternatives based on (piecewise deterministic) kinetic velocity jump processes have gained…

数值分析 · 数学 2025-05-27 Nicolaï Gouraud , Lucas Journel , Pierre Monmarché

The Generalised Langevin Equation (GLE) method, as developed in Ref. [Phys. Rev. B 89, 134303 (2014)], is used to calculate the dissipative dynamics of systems described at the atomic level. The GLE scheme goes beyond the commonly used…

统计力学 · 物理学 2015-01-06 H. Ness , L. Stella , C. D. Lorenz , L. Kantorovich

Fundamental understanding of complex dynamics in many-particle systems on the atomistic level is of utmost importance. Often the systems of interest are of macroscopic size but can be partitioned into few important degrees of freedom which…

化学物理 · 物理学 2015-07-09 Fabian Gottwald , Sven Karsten , Sergei D. Ivanov , Oliver Kühn

We provide an analytical framework for analyzing the quality of stochastic Verlet-type integrators for simulating the Langevin equation. Focusing only on basic objective measures, we consider the ability of an integrator to correctly…

计算物理 · 物理学 2026-02-12 Niels Grønbech-Jensen

Given a particle system obeying overdamped Langevin dynamics, we demonstrate that it is always possible to construct a thermodynamically consistent macroscopic model which obeys a gradient flow with respect to its non-equilibrium free…

统计力学 · 物理学 2025-06-11 Travis Leadbetter , Prashant K. Purohit , Celia Reina

Thermal state preparation is a central challenge in the simulation of quantum many-body systems. Yet, provably efficient algorithms for this task were only introduced recently [Chen et al. Nature 646, 561 (2025)]. These algorithms are based…

量子物理 · 物理学 2026-05-06 Christopher Ong , S. A. Parameswaran , Benedikt Placke , Dominik Hahn

Recently there has been remarkable progress in the complex Langevin method, which aims at solving the complex action problem by complexifying the dynamical variables in the original path integral. In particular, a new technique called the…

高能物理 - 格点 · 物理学 2015-12-30 Keitaro Nagata , Jun Nishimura , Shinji Shimasaki

A new algorithm is introduced to integrate the equations of rotational motion. The algorithm is derived within a leapfrog framework and the quantities involved into the integration are mid-step angular momenta and on-step orientational…

计算物理 · 物理学 2007-05-23 Igor P. Omelyan

We study a qDRIFT-type randomized method to simulate Lindblad dynamics by decomposing its generator into an ensemble of Lindbladians, $\mathcal{L} = \sum_{a \in \mathcal{A}} \mathcal{L}_a$, where each $\mathcal{L}_a$ comprises a simple…

量子物理 · 物理学 2025-11-26 Hongrui Chen , Bowen Li , Jianfeng Lu , Lexing Ying

In this paper we present an algorithm which allows single-stage direct Langevin dynamics simulations of transitions over arbitrary high energy barriers employing the concept of the energy-dependent temperature (EDT). In our algorithm,…

统计力学 · 物理学 2021-12-22 Dmitry Berkov , Elena K. Semenova , Natalia L. Gorn

The numerical investigation of the statics and dynamics of systems in nonequilibrium in general, and under shear flow in particular, has become more and more common. However, not all the numerical methods developed to simulate equilibrium…

软凝聚态物质 · 物理学 2019-02-08 José Ruiz-Franco , Lorenzo Rovigatti , Emanuela Zaccarelli

The path integral molecular dynamics (PIMD) method provides a convenient way to compute the quantum mechanical structural and thermodynamic properties of condensed phase systems at the expense of introducing an additional set of…

In this article, we focus on the sampling of the configurational Gibbs-Boltzmann distribution, that is, the calculation of averages of functions of the position coordinates of a molecular $N$-body system modelled at constant temperature. We…

数值分析 · 数学 2025-04-30 Benedict Leimkuhler , Charles Matthews

In previous work, we introduced a method for determining convergence rates for integration methods for the kinetic Langevin equation for $M$-$\nabla$Lipschitz $m$-log-concave densities [arXiv:2302.10684, 2023]. In this article, we exploit…

数值分析 · 数学 2023-06-16 Benedict Leimkuhler , Daniel Paulin , Peter A. Whalley

Accurate characterization of the equilibrium distributions of complex molecular systems and their dependence on environmental factors such as temperature is essential for understanding thermodynamic properties and transition mechanisms.…

机器学习 · 计算机科学 2025-07-08 Yunrui Qiu , Richard John , Lukas Herron , Pratyush Tiwary