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We study persistence in one-dimensional ferromagnetic and anti-ferromagnetic nearest-neighbor Ising models with parallel dynamics. The probability P(t) that a given spin has not flipped up to time t, when the system evolves from an initial…

统计力学 · 物理学 2009-11-07 G. I. Menon , P. Ray , P. Shukla

In this letter we study the non-equilibrium spin dynamics in the non-integrable spin-1 XXZ chain, emerging after joining two macroscopic pure states with different magnetizations. Employing the so-called time-dependent variational principle…

统计力学 · 物理学 2020-02-26 Marko Medenjak , Jacopo De Nardis

The Glauber model on a one-dimensional lattice with boundaries (for the ferromagnetic- and anti-ferromagnetic case) is considered. The large-time behaviour of the one-point function is studied. It is shown that, for any positive…

统计力学 · 物理学 2009-11-07 Mohammad Khorrami , Amir Aghamohammadi

We study spin-$S$ Ising models with $p$-spin interactions on the one-dimensional chain and the two-dimensional square lattice. Here, $S$ denotes the magnitude of the spin and $p$ represents the number of spins involved in each interaction.…

统计力学 · 物理学 2025-02-21 Kohei Suzuki

We investigate the large-time scaling regimes arising from a variety of metastable structures in a chain of Ising spins with both first- and second-neighbor couplings while subject to a Kawasaki dynamics. Depending on the ratio and sign of…

统计力学 · 物理学 2016-04-19 F. A. Gómez Albarracín , H. D. Rosales , M. D. Grynberg

Recent high precision experimental results on spin-glass films ask for a detailed understanding of the domain-growth dynamics of two-dimensional spin glasses. To achieve this goal, we numerically simulate the out-equilibrium dynamics of the…

无序系统与神经网络 · 物理学 2019-05-07 L. A. Fernandez , E. Marinari , V. Martin-Mayor , G. Parisi , J. J. Ruiz-Lorenzo

We study the domain growth of the one-dimensional kinetic Ising model under the competing influence of Glauber dynamics at temperature T and Kawasaki dynamics with a configuration-independent rate. The scaling of the structure factor is…

统计力学 · 物理学 2009-10-31 Zhi-Feng Huang , Bing-Lin Gu , Yun Tang

We quantify the effect of system size in the kinetics of domain growth in Ising model with 50:50 composition in two spatial dimensions. Our estimate of the exponent, $\alpha=0.334\pm0.004$, for the power law growth of linear domain size,…

统计力学 · 物理学 2010-01-25 Suman Majumder , Subir K. Das

In spin-lattice models with order parameter conserved, we generalize the idea of spin diffusion incorporating a variety factors as possible driving forces, including the external field and the temperature. The Kawasaki dynamics in the…

统计力学 · 物理学 2007-05-23 Han Zhu , Jian-Yang Zhu

Studying the real-time dynamics of strongly correlated systems poses significant challenges, which have recently become more manageable thanks to advances in density matrix renormalization group (DMRG) and tensor network methods. A notable…

强关联电子 · 物理学 2025-05-19 Jeong Hyeok Cha , Hyun-Yong Lee , Heung-Sik Kim

In this communication we report the existence of a dynamic ``spin-reversal'' transition in an Ising system perturbed by a pulsed external magnetic field. The transition is achieved by tuning the strength ($h_p$) and/or the duration ($\Delta…

凝聚态物理 · 物理学 2015-06-25 A. Misra , B. K. Chakrabarti

In this paper, we start reviewing the main features of the one-dimensional Ising model with long-range interactions, where the spin-spin coupling decays as a power law, $J(r) \propto r^{-\alpha}$. We then discuss the key properties of the…

统计力学 · 物理学 2026-02-10 Federico Corberi , Eugenio Lippiello , Paolo Politi , Luca Smaldone

We investigate a nonequilibrium coarsening dynamics of a one-dimensional Ising spin system with chirality. Only spins at domain boundaries are updated so that the model undergoes a coarsening to either of equivalent absorbing states with…

统计力学 · 物理学 2015-06-11 Mina Kim , Su-Chan Park , Jae Dong Noh

Statistical Inference is the process of determining a probability distribution over the space of parameters of a model given a data set. As more data becomes available this probability distribution becomes updated via the application of…

无序系统与神经网络 · 物理学 2022-04-28 David S. Berman , Jonathan J. Heckman , Marc Klinger

A one-dimensional flocking model using active Ising spins is studied, where the system evolves through the reinforcement learning approach \textit{via} defining state, action, and cost function for each spin. The orientation of spin with…

软凝聚态物质 · 物理学 2024-12-02 Anish Kumar , Pawan Kumar Mishra , Riya Singh , Shradha Mishra , Debaprasad Giri

A dynamical model is proposed for isotropic turbulence driven by steady forcing that yields a viscosity independent dynamics for the small-scale (inertial) regime. This reproduces the Kolmogorov spectrum for the two-point velocity…

统计力学 · 物理学 2011-07-04 Mohammad Mehrafarin

Dynamic scaling analyses are performed in the spin-glass phase of the $\pm J$ Ising, the {\it XY}, and the Heisenberg models in three dimensions. We found a crossover from the critical dynamics to the ground-state dynamics in the Ising…

无序系统与神经网络 · 物理学 2007-05-23 Tota Nakamura

A one dimensional kinetic Ising model at a finite temperature on a semi-infinite lattice with time varying boundary spins is considered. Exact expressions for the expectation values of the spin at each site are obtained, in terms of the…

统计力学 · 物理学 2012-02-06 Amir Aghamohammadi , Cina Aghamohammadi , Mohammad Khorrami

We study the ordering kinetics of a generalization of the voter model with long-range interactions, the $p$-voter model, in one dimension. It is defined in terms of boolean variables $S_{i}$, agents or spins, located on sites $i$ of a…

统计力学 · 物理学 2024-09-19 Federico Corberi , Salvatore dello Russo , Luca Smaldone

Monte Carlo simulations of the short-time dynamic behavior are reported for three-dimensional weakly site-diluted Ising model with spin concentrations $p=0.95$ and 0.8 at criticality. In contrast to studies of the critical behavior of the…

无序系统与神经网络 · 物理学 2010-05-31 Pavel V. Prudnikov , Vladimir V. Prudnikov , Aleksandr S. Krinitsyn , Andrei N. Vakilov , Evgenii A. Pospelov