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We present the conceptual and technical background required to describe and understand the correlations and fluctuations of the empirical density and current of steady-state diffusion processes on all time scales -- observables central to…

统计力学 · 物理学 2023-04-06 Cai Dieball , Aljaž Godec

Coarse graining techniques offer a promising alternative to large-scale simulations of complex dynamical systems, as long as the coarse-grained system is truly representative of the initial one. Here, we investigate how the dynamical…

无序系统与神经网络 · 物理学 2009-11-13 David Gfeller , Paolo De Los Rios

Depletion forces play a role in the compaction and de-compation of chromosomal material in simple cells but it remains debatable whether they are sufficient to account for chromosomal collapse. We present coarse-grained molecular dynamics…

软凝聚态物质 · 物理学 2015-06-22 Tyler N. Shendruk , Martin Bertrand , Hendrick W. de Haan , James L. Harden , Gary W. Slater

Variational minimization of tensor network states enables the exploration of low energy states of lattice gauge theories. However, the exact numerical evaluation of high-dimensional tensor network states remains challenging in general. In…

量子物理 · 物理学 2020-10-12 Patrick Emonts , Mari Carmen Bañuls , J. Ignacio Cirac , Erez Zohar

We review some recent coarse-graining and multi-scale methods, but also put forward some new ideas for addressing such issues. We find that, if one is guided by nonequilibrium statistical mechanics and thermodynamics, it is possible to…

软凝聚态物质 · 物理学 2009-11-06 Patrick Ilg , Vlasis Mavrantzas , Hans Christian Öttinger

Simulations of condensed matter systems often focus on the dynamics of a few distinguished components but require integrating the dynamics of the full system. A prime example is a molecular dynamics simulation of a (macro)molecule in…

计算物理 · 物理学 2024-03-12 Mauricio J. del Razo , Daan Crommelin , Peter G. Bolhuis

Simulation results are presented on the collapse of granular columns composed of rod-like particles. Columns can be stable and free-standing if either the friction coefficient is large enough, or the rods long enough. Destabilizing…

软凝聚态物质 · 物理学 2023-01-16 Claus Heussinger

Considering molecular dynamic simulations as a stochastic method, we investigate the possibility of time coarse graining the simulations. Similarly to Boltzmann inversion method in spatial coarse graining, which begins with a free energy…

软凝聚态物质 · 物理学 2025-09-23 Maxime Martin , Levi Pereon , Quoc Tuan Truong , Victor Teboul

We introduce a variational method for the approximation of ground states of strongly interacting spin systems in arbitrary geometries and spatial dimensions. The approach is based on weighted graph states and superpositions thereof. These…

量子物理 · 物理学 2007-05-23 S. Anders , M. B. Plenio , W. Dür , F. Verstraete , H. -J. Briegel

A general mean field theory is presented for the construction of equilibrium coarse grained models. Inverse methods that reconstruct microscopic models from low resolution experimental data can be derived as particular implementations of…

统计力学 · 物理学 2010-07-13 Luca Larini , Vinod Krishna

Complex fluids exhibit structure on a wide range of length and time scales, and hierarchical approaches are necessary to investigate all facets of their often unusual properties. The study of idealized coarse-grained models at different…

软凝聚态物质 · 物理学 2008-10-23 Friederike Schmid

We propose a highly coarse-grained simulation model for crystalline polymer solids with crystalline lamellar structures. The mechanical properties of a crystalline polymer solid are mainly determined by the crystalline lamellar structures.…

软凝聚态物质 · 物理学 2025-01-13 Takashi Uneyama

We discuss how simulations of mechanical properties of materials require descriptions at many different length scales --- from the nanoscale where an atomic description is appropriate, through a mesoscale where dislocation based…

材料科学 · 物理学 2007-05-23 J. Schiøtz , T. Vegge , F. D. Di Tolla , K. W. Jacobsen

Coarse-graining has become an area of tremendous importance within many different research fields. For molecular simulation, coarse-graining bears the promise of finding simplified models such that long-time simulations of large-scale…

化学物理 · 物理学 2019-09-04 Feliks Nüske , Lorenzo Boninsegna , Cecilia Clementi

The study of nonlinear phenomena in systems with many degrees of freedom often relies on complex numerical simulations. In trying to model realistic situations, these systems may be coupled to an external environment which drives their…

高能物理 - 格点 · 物理学 2009-10-28 Julian Borrill , Marcelo Gleiser

In the context of the recently developed "equation-free" approach to computer-assisted analysis of complex systems, we extract the self-similar solution describing core collapse of a stellar system from numerical experiments. The technique…

天体物理学 · 物理学 2009-11-11 Andras Szell , David Merritt , Ioannis G. Kevrekidis

String breaking is a fundamental concept in gauge theories, describing the decay of a flux string connecting two charges through the production of particle-antiparticle pairs. This phenomenon is particularly important in particle physics,…

量子气体 · 物理学 2024-11-26 Ying Liu , Wei-Yong Zhang , Zi-Hang Zhu , Ming-Gen He , Zhen-Sheng Yuan , Jian-Wei Pan

A new procedure for coarse-graining dynamical triangulations is presented. The procedure provides a meaning for the relevant value of observables when "probing at large scales", e.g. the average scalar curvature. The scheme may also be…

广义相对论与量子宇宙学 · 物理学 2010-04-30 Joe Henson

The non-equilibrium random-field Ising model is well studied, yet there are outstanding questions. In two dimensions, power law scaling approaches fail and the critical disorder is difficult to pin down. Additionally, the presence of…

无序系统与神经网络 · 物理学 2019-11-06 L. X. Hayden , Archishman Raju , James P. Sethna

The simulation of dense fermionic matters is a long-standing problem in lattice gauge theory. One hopeful solution would be the use of quantum computers. In this paper, digital quantum simulation is designed for lattice gauge theory at…

高能物理 - 格点 · 物理学 2021-07-14 Arata Yamamoto