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Perturbation theory for the random-field Ising model (RFIM) has the infamous attribute that it predicts at all orders a dimensional-reduction property for the critical behavior that turns out to be wrong in low dimension. Guided by our…

无序系统与神经网络 · 物理学 2015-10-07 Gilles Tarjus , Matthieu Tissier

This work studies universal finite size scaling functions for the number of 1d spanning avalanches in a two-dimensional disordered system with boundary conditions of different nature and different aspect ratios. For this purpose, we…

统计力学 · 物理学 2016-02-24 Víctor Navas-Portella , Eduard Vives

We investigate the connection between a formal property of the critical behavior of several systems in the presence of quenched disorder, known as "dimensional reduction", and the presence in the same systems at zero temperature of…

无序系统与神经网络 · 物理学 2015-06-11 Gilles Tarjus , Maxime Baczyk , Matthieu Tissier

We report on the computer study of a lattice system that relaxes from a metastable state. Under appropriate nonequilibrium randomness, relaxation occurs by avalanches, i.e., the model evolution is discontinuous and displays many scales in a…

无序系统与神经网络 · 物理学 2007-05-23 P. I. Hurtado , J. Marro , P. L. Garrido

We provide a theoretical analysis by means of the nonperturbative functional renormalization group (NP-FRG) of the corrections to scaling in the critical behavior of the random-field Ising model (RFIM) near the dimension $d_{DR}\approx 5.1$…

无序系统与神经网络 · 物理学 2021-01-04 Ivan Balog , Gilles Tarjus , Matthieu Tissier

The random-field Ising model shows extreme critical slowdown that has been described by activated dynamic scaling: the characteristic time for the relaxation to equilibrium diverges exponentially with the correlation length, $\ln \tau\sim…

统计力学 · 物理学 2017-10-12 Ivan Balog , Gilles Tarjus

Simulations with more than $10^{12}$ spins are used to study the motion of a domain wall driven through a three-dimensional random-field Ising magnet (RFIM) by an external field $H$. The interface advances in a series of avalanches whose…

软凝聚态物质 · 物理学 2019-10-18 Joel T. Clemmer , Mark O. Robbins

We review the theoretical description of the random field Ising and $O(N)$ models obtained from the functional renormalization group, either in its nonperturbative implementation or, in some limits, in perturbative implementations. The…

无序系统与神经网络 · 物理学 2020-04-22 Gilles Tarjus , Matthieu Tissier

Finite-size scaling above the upper critical dimension is a long-standing puzzle in the field of Statistical Physics. Even for pure systems various scaling theories have been suggested, partially corroborated by numerical simulations. In…

统计力学 · 物理学 2023-10-30 Nikolaos G. Fytas , Victor Martin-Mayor , Giorgio Parisi , Marco Picco , Nicolas Sourlas

The disorder-driven phase transition of the RFIM is observed using exact ground-state computer simulations for hyper cubic lattices in d=5,6,7 dimensions. Finite-size scaling analyses are used to calculate the critical point and the…

无序系统与神经网络 · 物理学 2015-05-20 Björn Ahrens , Alexander K. Hartmann

We show that both square and kagome artificial spin ice systems exhibit disorder-induced nonequilibrium phase transitions, with power law avalanche distributions at the critical disorder level. The different nature of geometrical…

介观与纳米尺度物理 · 物理学 2014-07-02 Gia-Wei Chern , C. Reichhardt , C. J. Olson Reichhardt

Molecular dynamics simulations with varying damping are used to examine the effects of inertia and spatial dimension on sheared disordered solids in the athermal, quasistatic limit. In all cases the distribution of avalanche sizes follows a…

软凝聚态物质 · 物理学 2015-03-17 K. Michael Salerno , Mark O. Robbins

We study the two-dimensional Ising model on a network with a novel type of quenched topological (connectivity) disorder. We construct random lattices of constant coordination number and perform large scale Monte Carlo simulations in order…

统计力学 · 物理学 2018-03-07 Manuel Schrauth , Julian A. J. Richter , Jefferson S. E. Portela

We study the zero temperature random field Ising model as a model for noise and avalanches in hysteretic systems. Tuning the amount of disorder in the system, we find an ordinary critical point with avalanches on all length scales. Using a…

凝聚态物理 · 物理学 2009-10-28 Karin Dahmen , James P. Sethna

Above the upper critical dimension, the breakdown of hyperscaling is associated with dangerous irrelevant variables in the renormalization group formalism at least for systems with periodic boundary conditions. While these have been…

统计力学 · 物理学 2014-02-10 Bertrand Berche , Ralph Kenna , Jean-Charles Walter

We use a discrete-time formulation to study the asymmetric avalanche process [Phys. Rev. Lett. vol. 87, 084301 (2001)] on a finite ring and obtain an exact expression for the average avalanche size of particles as a function of toppling…

统计力学 · 物理学 2009-11-10 A. M. Povolotsky , V. B. Priezzhev , Chin-Kun Hu

We investigate dimensional reduction, the property that the critical behavior of a system in the presence of quenched disorder in dimension d is the same as that of its pure counterpart in d-2, and its breakdown in the case of the…

无序系统与神经网络 · 物理学 2013-08-09 Maxime Baczyk , Matthieu Tissier , Gilles Tarjus , Yoshinori Sakamoto

Analytic phenomenological scaling is carried out for the random field Ising model in general dimensions using a bar geometry. Domain wall configurations and their decorated profiles and associated wandering and other exponents…

凝聚态物理 · 物理学 2009-10-28 R. B. Stinchcombe , E. D. Moore , S. L. A. de Queiroz

Transfer-matrix methods, with the help of finite-size scaling and conformal invariance concepts, are used to investigate the critical behavior of two-dimensional square-lattice Ising spin-1/2 systems with first- and second-neighbor…

统计力学 · 物理学 2011-10-03 S. L. A. de Queiroz

We investigate non-linear scaling relations for two-dimensional gravitational collapse in an expanding background using a 2D TreePM code and study the strongly non-linear regime ($\bar\xi \leq 200$) for power law models. Evolution of these…

天体物理学 · 物理学 2007-05-23 S. Ray , J. S. Bagla , T. Padmanabhan
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