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相关论文: Nature of temperature chaos in spin glasses

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Temperature chaos is an extreme sensitivity of the equilibrium state to a change of temperature. It arises in several disordered systems that are described by the so called scaling theory of spin glasses, while it seems to be absent in mean…

无序系统与神经网络 · 物理学 2009-11-07 M. Sasaki , O. C. Martin

We study the field cooled magnetization of a CuMn spin glass under temperature perturbations. The $T$-cycling curves are compared with the reference curve without temperature cycling. There is a crossover from the cumulative aging region to…

无序系统与神经网络 · 物理学 2024-02-20 Qiang Zhai , Raymond L. Orbach , Deborah Schlagel

Temperature chaos is a striking phenomenon in spin glasses, where even slight changes in temperature lead to a complete reconfiguration of the spin state. Another intriguing effect is the reentrant transition, in which lowering the…

无序系统与神经网络 · 物理学 2025-10-24 Hidetoshi Nishimori , Masayuki Ohzeki , Manaka Okuyama

We present a large-scale simulation of the three-dimensional and mean-field spin glasses down to a very low but finite temperature. We extrapolate pertinent observables, e.g., the disorder-averaged central weight to zero temperature,…

无序系统与神经网络 · 物理学 2025-05-13 Wenlong Wang

Temperature chaos plays a role in important effects, like for example memory and rejuvenation, in spin glasses, colloids, polymers. We numerically investigate temperature chaos in spin glasses, exploiting its recent characterization as a…

无序系统与神经网络 · 物理学 2016-12-02 L. A. Fernandez , E. Marinari , V. Martin-Mayor , G. Parisi , D. Yllanes

We find a dynamic effect in the non-equilibrium dynamics of a spin glass that closely parallels equilibrium temperature chaos. This effect, that we name dynamic temperature chaos, is spatially heterogeneous to a large degree. The key…

Temperature chaos has often been reported in literature as a rare-event driven phenomenon. However, this fact has always been ignored in the data analysis, thus erasing the signal of the chaotic behavior (still rare in the sizes achieved)…

无序系统与神经网络 · 物理学 2013-11-27 L. A. Fernandez , V. Martin-Mayor , G. Parisi , B. Seoane

We address the problem of chaotic temperature dependence in disordered glassy systems at equilibrium by following states of a random-energy random-entropy model in temperature; of particular interest are the crossings of the free-energies…

无序系统与神经网络 · 物理学 2015-06-24 F. Krzakala , O. C. Martin

This paper is divided into two parts. The first part concerns several standard scenarios for how short-range spin glasses might behave at low temperature. Earlier theorems of the authors are reviewed, and some new results presented,…

无序系统与神经网络 · 物理学 2007-05-23 C. M. Newman , D. L. Stein

We study the effects of small temperature as well as disorder perturbations on the equilibrium state of three-dimensional Ising spin glasses via an alternate scaling ansatz. By using Monte Carlo simulations, we show that temperature and…

无序系统与神经网络 · 物理学 2007-05-23 Helmut G. Katzgraber , Florent Krzakala

We discuss temperature chaos in mean field and realistic 3D spin glasses. Our numerical simulations show no trace of a temperature chaotic behavior for the system sizes considered. We discuss the experimental and theoretical implications of…

统计力学 · 物理学 2009-10-31 A. Billoire , E. Marinari

It is believed that the $\pm J$ Ising spin-glass does not order at finite temperatures in dimension $d=2$. However, using a graphical representation and a contour argument, we prove rigorously the existence of a finite-temperature phase…

无序系统与神经网络 · 物理学 2022-09-21 Yan Ru Pei , Massimiliano Di Ventra

Spin glasses have competing interactions that lead to a rough energy landscape which is highly susceptible to small perturbations. These chaotic effects strongly affect numerical simulations and, as such, gaining a deeper understanding of…

无序系统与神经网络 · 物理学 2016-06-14 Wenlong Wang , Jonathan Machta , Helmut G. Katzgraber

We study temperature chaos in a two-dimensional Ising spin glass with random quenched bimodal couplings, by an exact computation of the partition functions on large systems. We study two temperature correlators from the total free energy…

无序系统与神经网络 · 物理学 2009-11-11 Jovanka Lukic , Enzo Marinari , Olivier C. Martin , Silvia Sabatini

We consider the problem of temperature chaos in mean-field spin-glass models defined on random lattices with finite connectivity. By means of an expansion in the order parameter we show that these models display a much stronger chaos effect…

无序系统与神经网络 · 物理学 2012-10-31 Giorgio Parisi , Tommaso Rizzo

We study the fragility of spin glasses to small temperature perturbations numerically using population annealing Monte Carlo. We apply thermal boundary conditions to a three-dimensional Edwards-Anderson Ising spin glass. In thermal boundary…

无序系统与神经网络 · 物理学 2015-09-10 Wenlong Wang , Jon Machta , Helmut G. Katzgraber

We study chaos in a two dimensional Ising spin glass by finite temperature Monte Carlo simulations. We are able to detect chaos with respect to temperature changes as well as chaos with respect to changing the bonds, and find that the chaos…

凝聚态物理 · 物理学 2009-10-30 Muriel Ney-Nifle , A. Peter Young

We numerically study a nondisordered lattice spin system with a first order liquid-crystal transition, as a model for supercooled liquids and glasses. Below the melting temperature the system can be kept in the metastable liquid phase, and…

统计力学 · 物理学 2009-11-07 Andrea Cavagna , Irene Giardina , Tomas S. Grigera

We study the deviations from perfect memory in negative temperature cycle spin glass experiments. It is known that the a.c. susceptibility after the temperature is raised back to its initial value is superimposed to the reference isothermal…

无序系统与神经网络 · 物理学 2009-11-07 M. Sasaki , V. Dupuis , J. -P. Bouchaud , E. Vincent

We use simulations within the Migdal-Kadanoff real space renormalization approach to probe the scales relevant for rejuvenation and memory in spin glasses. One of the central questions concerns the role of temperature chaos. First we…

无序系统与神经网络 · 物理学 2009-11-10 M. Sasaki , O. C. Martin
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