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We present an algorithm for the simulation of the exact real-time dynamics of classical many-body systems with discrete energy levels. In the same spirit of kinetic Monte Carlo methods, a stochastic solution of the master equation is found,…

统计力学 · 物理学 2016-07-20 Alejandro Mendoza-Coto , Rogelio Díaz-Méndez , Guido Pupillo

A quantum-thermal annealing method using a cluster-flip algorithm is studied in the two-dimensional spin-glass model. The temperature (T) and the transverse field (Gamma) are decreased simultaneously with the same rate along a linear path…

无序系统与神经网络 · 物理学 2009-06-08 Satoshi Morita , Sei Suzuki , Tota Nakamura

We use a non-equilibrium simulation method to study the spin glass transition in three-dimensional Ising spin glasses. The transition point is repeatedly approached at finite velocity $v$ (temperature change versus time) in Monte Carlo…

无序系统与神经网络 · 物理学 2015-08-26 C. -W. Liu , A. Polkovnikov , A. W. Sandvik , A. P. Young

We present a Monte Carlo method to compute efficiently susceptibilites or covariances of two physical variables. The method relies on a generalization of the exchange cluster algorithm to any model of interacting particles with any $2$-body…

计算物理 · 物理学 2025-02-11 Assaraf Roland , Chevreau Hilaire

Warm dense matter is one of the most active frontiers in plasma physics due to its relevance for dense astrophysical objects as well as for novel laboratory experiments in which matter is being strongly compressed e.g. by high-power lasers.…

等离子体物理 · 物理学 2017-04-05 Tobias Dornheim , Simon Groth , Fionn Malone , Tim Schoof , Travis Sjostrom , W. M. C. Foulkes , Michael Bonitz

Grid-free Monte Carlo methods such as walk on spheres can be used to solve elliptic partial differential equations without mesh generation or global solves. However, such methods independently estimate the solution at every point, and hence…

图形学 · 计算机科学 2023-05-16 Bailey Miller , Rohan Sawhney , Keenan Crane , Ioannis Gkioulekas

Thermodynamic multi-component solution solidification approach to liquid-to-glass transition is proposed and actual mechanisms underlying vitrification, other than viscous slowdown, are identified. Due to polydisperse aggregation in liquid…

材料科学 · 物理学 2022-09-14 Vladimir Belostotsky

The results of numerical simulation using a modified Monte Carlo method with a thermostat algorithm for a pseudospin model of orthonickelates are presented. Temperature phase diagrams are constructed for various degrees of filling and for…

统计力学 · 物理学 2025-11-18 V. S. Ryumshin , Yu. D. Panov , V. A. Ulitko , A. S. Moskvin

This paper presents a seamless algorithm for the application of the multilevel Monte Carlo (MLMC) method to the ensemble transform particle filter (ETPF). The algorithm uses a combination of optimal coupling transformations between coarse…

数值分析 · 数学 2017-06-15 Alastair Gregory , Colin Cotter

Dilute dipolar Ising magnets remain a notoriously hard problem to tackle both analytically and numerically because of long-ranged interactions between spins as well as rare region effects. We study a new type of anisotropic dilute dipolar…

无序系统与神经网络 · 物理学 2019-08-28 Tushar Kanti Bose , Roderich Moessner , Arnab Sen

Solvent-free coarse grained models represent one of the most promising approaches for molecular simulations of mesoscopically large membranes. In these models, the size of the simulated membrane is limited by the slow relaxation time of…

软凝聚态物质 · 物理学 2009-11-13 Oded Farago

We present a multilevel Monte Carlo simulation method for analysing multi-scale physical systems via a hierarchy of coarse-grained representations, to obtain numerically-exact results, at the most detailed level. We apply the method to a…

We present two Diffusion Monte Carlo (DMC) algorithms for systems of ultracold quantum gases featuring synthetic spin-orbit interactions. The first one is a discrete spin generalization of the T- moves spin-orbit DMC, which provides an…

量子气体 · 物理学 2018-12-05 J. Sanchez-Baena , J. Boronat , F. Mazzanti

The ultraslow dynamics of glass-formers has been explained by two views considered as mutually exclusive: one invokes locally hindered mobility, the other rests on the complexity of the configuration space. Here we demonstrate that the…

无序系统与神经网络 · 物理学 2026-02-02 Federico Ghimenti , Ludovic Berthier , Jorge Kurchan , Frédéric van Wijland

We propose a new Monte Carlo scheme to study the late-time dynamics of a 2-dim hard sphere fluid, modeled by a tethered network of hard spheres. Fluidity is simulated by breaking and reattaching the flexible tethers. We study the diffusion…

凝聚态物理 · 物理学 2007-05-23 P. B. Sunil Kumar , Madan Rao

We propose a Multi-level Monte Carlo technique to accelerate Monte Carlo sampling for approximation of properties of materials with random defects. The computational efficiency is investigated on test problems given by tight-binding models…

数值分析 · 数学 2016-11-30 Petr Plecháč , Erik von Schwerin

Monte Carlo methods use random sampling to estimate numerical quantities which are hard to compute deterministically. One important example is the use in statistical physics of rapidly mixing Markov chains to approximately compute partition…

量子物理 · 物理学 2017-07-12 Ashley Montanaro

We investigate the inclusion of variable spins in electronic structure quantum Monte Carlo, with a focus on diffusion Monte Carlo with Hamiltonians that include spin-orbit interactions. Following our previous introduction of fixed-phase…

计算物理 · 物理学 2016-07-27 Cody A. Melton , M. Chandler Bennett , Lubos Mitas

Numerically exact continuous-time Quantum Monte Carlo algorithm for finite fermionic systems with non-local interactions is proposed. The scheme is particularly applicable for general multi-band time-dependent correlations since it does not…

强关联电子 · 物理学 2009-11-10 A. N. Rubtsov , A. I. Lichtenstein

Amorphous solids exhibit quasi-universal low-temperature anomalies whose origin has been ascribed to localized tunneling defects. Using an advanced Monte Carlo procedure, we create {\it in silico} glasses spanning from hyperquenched to…

无序系统与神经网络 · 物理学 2020-06-17 Dmytro Khomenko , Camille Scalliet , Ludovic Berthier , David R. Reichman , Francesco Zamponi
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