Influence of Roughening Transition on Magnetic Ordering

Nalina Vadakkayil; Sanat K. Singha; Subir K. Das

Home/Archive/arXiv

arXiv · 2106.16232

Influence of Roughening Transition on Magnetic Ordering

Nalina Vadakkayil·Sanat K. Singha·Subir K. Das

View original source ↗Read source document ↗Export metadata ↓

Abstract

In the literature of magnetic phase transitions, in addition to a critical point, existence of another special point has been discussed. This is related to the broadening of interface between two different ordering phases and is referred to as the point of roughening transition. While there exists good understanding on equilibrium properties associated with this transition, influence of this on nonequilibrium dynamics has not been investigated. In this paper we present comprehensive results, from Monte Carlo simulations, on coarsening dynamics in a system, over a wide range of temperature, in space dimension d = 3, for which there exists roughening transition at a nonzero temperature. State-of-the-art analysis of the simulation data, on structure, growth and aging, shows that the onset of unexpected glass-like slow dynamics in this system, that has received much attention in recent times, for quenches to zero temperature, actually occurs at this transition point. This demonstrates an important structure-dynamics connection in phase-ordering dynamics. We compare the key results with those from d = 2, for which there exists no non-zero roughening transition temperature. Absence of the above mentioned anomalous features in the latter dimension places our conjecture on the role of roughening transition on a firmer footing.

Explore related subjects

cond-mat.stat-mech

Keep this discovery

BibTeX RIS

Nalina Vadakkayil, Sanat K. Singha, Subir K. Das. 2021-06-30. Influence of Roughening Transition on Magnetic Ordering. https://arxiv.org/abs/2106.16232

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

arXiv2026

Universal sampling of spin systems across quenched disorder

Statistical physics extracts macroscopic laws by averaging over the many microscopic degrees of freedom of a system. Disordered systems demand a second and far harder average, one over the quenched randomness itself. The classic analytical routes, the replica and cavity methods, become uncontrolled outside mean-field or tree-like limits, and conventional numerical algorithms like parallel tempering require expensive, independent equilibration for every disorder realization. In this work, we introduce a universal neural variational framework that amortizes inference across the disorder ensemble, eliminating both the need for per-instance Markov chain equilibration and the cost of retraining instance-specific variational ansatzes. Built on an encoder-decoder Transformer architecture, after training once, it produces an explicit approximation to the Boltzmann distribution given previously unseen disorder realizations without further optimization. We validate this framework on 2D Edwards-Anderson models, and apply it to the random-bond Ising model, successfully capturing the Binder cumulant crossings near the Nishimori multicritical point. These results shift the object of variational inference from the single instance to the disorder ensemble, opening a route to frustrated many-body systems where instance-by-instance computation is prohibitive.

cond-mat.stat-mech↗

arXiv2026

Information-Theoretic Characterization of Macroscopic Chaos Emerging from the Chemical Master Equation

Open chemical reaction networks exhibit stochastic concentration dynamics at finite system sizes, whereas their macroscopic limit is governed by deterministic rate equations that can display chaos. In this Letter, we show theoretically that a rate of information loss constructed from two-time mutual information recovers the Kolmogorov-Sinai entropy in the deterministic limit. We verify this result through numerical simulations of a Markov jump process for a three-species system involving seven reactions.

cond-mat.stat-mech↗

arXiv2026

Orientational order on non-orientable domains

We study the statistical properties of passive and active many-body systems with orientational degrees of freedom on non-orientable domains. By rephrasing topological constraints as non-local symmetry relations on an orientable double-cover, we show that non-orientability eliminates global rotational soft modes without acting like an external field. In a passive XY model, this results in topological caging, where orientational fluctuations that exhibit conventional diffusive behavior on a torus saturate on a Klein bottle to a finite value that we compute exactly in the thermodynamic limit. In models of active self-propelled particles with orientational degrees of freedom, topological caging persists despite continuously changing interaction neighborhoods. In an active Ising spin model, non-orientability enforces the coexistence of ordered anti-parallel domains with vanishing global polar order, a state that is absent on orientable domains.

cond-mat.stat-mech↗