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相关论文: The Random Field Ising Model on Hierarchical Latti…

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The phase diagram and the thermodynamics of the random field Ising model (RFIM) defined on a family of diamond hierarchical lattices of arbitrary dimension and scaling factor $b=2$ is investigated. The phase diagram is studied considering…

无序系统与神经网络 · 物理学 2007-05-23 Alexandre Rosas , Sérgio Coutinho

We study the critical behavior of the one-dimensional random field Ising model (RFIM) with long-range interactions ($\propto r^{-(d+\sigma)}$) by the nonperturbative functional renormalization group. We find two distinct regimes of critical…

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

We study the correlated-disorder driven zero-temperature phase transition of the Random-Field Ising Magnet using exact numerical ground-state calculations for cubic lattices. We consider correlations of the quenched disorder decaying…

无序系统与神经网络 · 物理学 2015-05-28 Björn Ahrens , Alexander K. Hartmann

We study critical hysteresis in the random-field Ising model (RFIM) on a two-dimensional periodic lattice with a variable coordination number $z_{eff}$ in the range $3 \le z_{eff} \le 6$. We find that the model supports critical behavior in…

统计力学 · 物理学 2015-06-23 Lobisor Kurbah , Diana Thongjaomayum , Prabodh Shukla

Random Ising systems on a general hierarchical lattice with both, random fields and random bonds, are considered. Rigorous inequalities between eigenvalues of the Jacobian renormalization matrix at the pure fixed point are obtained. These…

统计力学 · 物理学 2018-09-19 Avishay Efrat , Moshe Schwartz

The random field Ising model is studied numerically at both zero and positive temperature. Ground states are mapped out in a region of random and external field strength. Thermal states and thermodynamic properties are obtained for all…

统计力学 · 物理学 2009-11-11 Yong Wu , Jon Machta

We use computer simulations to investigate the extended phase diagram of a supercooled liquid linearly coupled to a quenched reference configuration. An extensive finite-size scaling analysis demonstrates the existence of a random-field…

统计力学 · 物理学 2020-10-29 Benjamin Guiselin , Ludovic Berthier , Gilles Tarjus

The Random-Field Ising Model (RFIM) has been extensively studied as a model system for understanding the effects of disorder in magnets. Since the late 1970s, there has been a particular focus on realizations of the RFIM in site-diluted…

无序系统与神经网络 · 物理学 2008-01-16 D. M. Silevitch , D. Bitko , J. Brooke , S. Ghosh , G. Aeppli , T. F. Rosenbaum

Using combinatorial optimisation techniques we study the critical properties of the two- and the three-dimensional Ising model with uniformly distributed random antiferromagnetic couplings $(1 \le J_i \le 2)$ in the presence of a…

无序系统与神经网络 · 物理学 2022-06-08 Jean-Christian Anglès d'Auriac , Ferenc Iglói

We write exact renormalization-group recursion relations for a ferromagnetic Ising model on the diamond hierarchical lattice with an aperiodic distribution of exchange interactions according to a class of generalized two-letter Fibonacci…

统计力学 · 物理学 2015-06-25 S. T. R. Pinho , T. A. S. Haddad , S. R. Salinas

We study a quasi-statically driven random field Ising model (RFIM) at zero temperature with interactions mediated by the long-range anisotropic Eshelby kernel. Analogously to amorphous solids at their yielding transition, and differently…

无序系统与神经网络 · 物理学 2023-12-20 Saverio Rossi , Giulio Biroli , Misaki Ozawa , Gilles Tarjus

The random field Ising model in three dimensions with Gaussian random fields is studied at zero temperature for system sizes up to 60^3. For each realization of the normalized random fields, the strength of the random field, Delta and a…

统计力学 · 物理学 2009-11-07 Ilija Dukovski , Jon Machta

In a recent letter, Fytas et al. [Phys. Rev. Lett. 122, 240603 (2019)] study the critical point of the equilibrium random-field Ising model (RFIM) in $D=5$ by means of state-of-art zero-temperature lattice simulations. We show that their…

无序系统与神经网络 · 物理学 2019-10-04 Ivan Balog , Gilles Tarjus , Matthieu Tissier

We analyze critical points that can be induced in glassy systems by the presence of constraints. These critical points are predicted by the Mean Field Thermodynamic approach and they are precursors of the standard glass transition in…

统计力学 · 物理学 2014-04-01 Silvio Franz , Giorgio Parisi

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

Criticality in the class of disordered systems comprising the random-field Ising model (RFIM) and elastic manifolds in a random environment is controlled by zero-temperature fixed points that must be treated through a functional…

无序系统与神经网络 · 物理学 2020-01-29 Ivan Balog , Gilles Tarjus , Matthieu Tissier

We study the hysteretic evolution of the random field Ising model (RFIM) at T=0 when the magnetization M is controlled externally and the magnetic field H becomes the output variable. The dynamics is a simple modification of the…

无序系统与神经网络 · 物理学 2009-11-11 Xavier Illa , Martin-Luc Rosinberg , Prabodh Shukla , Eduard Vives

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

The energy landscape for the random-field Ising model (RFIM) is complex, yet algorithms such as the push-relabel algorithm exist for computing the exact ground state of an RFIM sample in time polynomial in the sample volume. Simulations…

无序系统与神经网络 · 物理学 2007-05-23 Jan H. Meinke , A. Alan Middleton

The Ising model in a random field and with power-law decaying ferromagnetic bonds is studied at zero temperature. Comparing the scaling of the energy contributions of the ferromagnetic domain wall flip and of the random field a la Imry-Ma…

无序系统与神经网络 · 物理学 2015-06-15 Luca Leuzzi , Giorgio Parisi
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