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相关论文: Temperature chaos may emerge many thermodynamic st…

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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

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 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

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

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

Temperature chaos (TC) in spin glasses has been claimed to exist no matter how small the temperature change, $\Delta T$. However, experimental studies have exhibited a finite value of $\Delta T$ for a transition to TC. This paper explores…

无序系统与神经网络 · 物理学 2025-03-19 Hongze Li , Jiaming He , Raymond L. Orbach

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 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 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…

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 discuss the problem of static chaos in spin glasses. In the case of magnetic field perturbations, we propose a scaling theory for the spin-glass phase. Using the mean-field approach we argue that some pure states are suppressed by the…

凝聚态物理 · 物理学 2009-10-22 Felix Ritort

Spin glasses have competing interactions and complex energy landscapes that are highly-susceptible to perturbations, such as the temperature or the bonds. The thermal boundary condition technique is an effective and visual approach for…

无序系统与神经网络 · 物理学 2018-12-26 Wenlong Wang , Mats Wallin , Jack Lidmar

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 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

We investigate numerically disorder chaos in spin glasses, i.e. the sensitivity of the ground state to small changes of the random couplings. Our study focuses on the Edwards-Anderson model in d=1,2,3 and in mean-field. We find that in all…

无序系统与神经网络 · 物理学 2007-05-23 Florent Krzakala , Jean-Philippe Bouchaud

We discuss the issue of temperature chaos in the Sherrington--Kirkpatrick spin glass mean field model. We numerically compute probability distributions of the overlap among (equilibrium) configurations at two different values of the…

无序系统与神经网络 · 物理学 2009-11-07 Alain Billoire , Enzo Marinari

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

In this topical review we discuss the nature of the low-temperature phase in both infinite-ranged and short-ranged spin glasses. We analyze the meaning of pure states in spin glasses, and distinguish between physical, or ``observable'',…

无序系统与神经网络 · 物理学 2009-11-10 C. M. Newman , D. L. Stein
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