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Related papers: Geometric properties of two-dimensional coarsening…

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Magnetic domain wall motion is at the heart of new magneto-electronic technologies and hence the need for a deeper understanding of domain wall dynamics in magnetic systems. In this context, numerical simulations using simple models can…

Mesoscale and Nanoscale Physics · Physics 2018-06-20 Nirvana B. Caballero , Ezequiel E. Ferrero , Alejandro B. Kolton , Javier Curiale , Vincent Jeudy , Sebastian Bustingorry

In this work, we apply phase field simulations to examine the coarsening behavior of morphologically complex two-phase microstructures in which the phases have highly dissimilar mobilities, a condition approaching that found in experimental…

Materials Science · Physics 2022-06-10 W. Beck Andrews , Peter W. Voorhees , Katsuyo Thornton

We report studies of the behaviour of a single driven domain wall in the 2-dimensional non-equilibrium zero temperature random-field Ising model, closely above the depinning threshold. It is found that even for very weak disorder, the…

Disordered Systems and Neural Networks · Physics 2009-10-31 Barbara Drossel , Karin Dahmen

A fermionic disordered one dimensional wire in the presence of attractive interactions is known to have two distinct phases: A localized and a superconducting one depending on the strength of interaction and disorder. The localized region…

Mesoscale and Nanoscale Physics · Physics 2015-11-18 Richard Berkovits

The paper considers the effects of random fluctuations of the local spin connectivities (fluctuations of the geometry) on ground state properties of a two-dimensional quantum antiferromagnet. We analyse the behavior of spins described by…

Strongly Correlated Electrons · Physics 2015-06-03 Anuradha Jagannathan , Benoit Douçot , Attila Szallas , Stefan Wessel

The coarsening process in a class of driven systems is studied. These systems have previously been shown to exhibit phase separation and slow coarsening in one dimension. We consider generalizations of this class of models to higher…

Statistical Mechanics · Physics 2015-06-24 Y. Kafri , D. Biron , M. R. Evans , D. Mukamel

This work is devoted to an in-depth analysis of arbitrary temperature protocols applied to the ferromagnetic Glauber-Ising chain launched from a disordered initial state and evolving in the low-temperature scaling regime. We focus our study…

Statistical Mechanics · Physics 2022-12-15 Claude Godrèche , Jean-Marc Luck

Atomically thin two dimensional magnets have given rise to emergent phenomena due to magnetic exchange and spin-orbit coupling showing a great promise for realizing ultrathin device structures. In this paper, we critically examine the…

Mesoscale and Nanoscale Physics · Physics 2021-12-22 Duo Wang , Xin Chen , Biplab Sanyal

Graphene is a two-dimensional carbon material which exhibits exceptional properties, making it highly suitable for a wide range of applications. Practical graphene fabrication often yields a polycrystalline structure with many inherent…

Disordered Systems and Neural Networks · Physics 2023-11-13 Zihua Liu , Debabrata Panja , Gerard T. Barkema

The scaling property of level statistics in the quantum Hall regime, i.e. 2D disordered electron systems subject to strong magnetic fields, is analyzed numerically in the light of the random matrix theory. The energy dependences of the…

Condensed Matter · Physics 2009-10-28 Y. Ono , T. Ohtsuki , B. Kramer

Persistent scaling behavior of magnetization in layered high $T_c$ superconductors with short--range columnar defects is explained within the Ginzburg Landau theory. In the weak field region, the scaling function differs from that of a…

Superconductivity · Physics 2007-05-23 Gregory M. Braverman , Sergey A. Gredeskul , Yshai Avishai

Many thermodynamic instabilities in one dimension (e.g. DNA thermal denaturation, wetting of interfaces) can be described in terms of simple models involving harmonic coupling between nearest neighbors and an asymmetric on-site potential…

Statistical Mechanics · Physics 2015-06-24 Thierry Dauxois , Nikos Theodorakopoulos , Michel Peyrard

Ferronematics (FNs) are suspensions of magnetic nanoparticles in nematic liquid crystals (NLCs). They have attracted much experimental attention, and are of great interest both scientifically and technologically. There are very few…

Statistical Mechanics · Physics 2020-11-05 Aditya Vats , Varsha Banerjee , Sanjay Puri

Domain wall networks have attracted renewed interest, particularly in relation to the dynamics of network collapse. Accurately describing this process is challenging and typically requires large scale numerical simulations. Here we adopt a…

Weak topological insulators have an even number of Dirac cones in their surface spectrum and are thought to be unstable to disorder, which leads to an insulating surface. Here we argue that the presence of disorder alone will not localize…

Mesoscale and Nanoscale Physics · Physics 2012-02-17 Roger S. K. Mong , Jens H. Bardarson , Joel E. Moore

Thermal fluctuations of the order parameter in an ultrathin triangular shaped superconducting structure are studied near $T_{c}$, in zero applied field. We find that the order parameter is prone to much larger fluctuations in the corners of…

Superconductivity · Physics 2010-09-06 W. V. Pogosov , V. R. Misko , F. M. Peeters

We study the dynamic evolution of geometric structures in a poly-degenerate system represented by a $q$-state Potts model with non-conserved order parameter that is quenched from its disordered into its ordered phase. The numerical results…

Disordered Systems and Neural Networks · Physics 2012-03-30 Marcos P. O. Loureiro , Jeferson J. Arenzon , Leticia F. Cugliandolo

Domain-wall dynamics and spatial fluctuations are closely related to each other and to universal features of disordered systems. Experimentally measured roughness exponents characterizing spatial fluctuations have been reported for magnetic…

Disordered Systems and Neural Networks · Physics 2021-07-09 Lucas J. Albornoz , Pamela C. Guruciaga , Vincent Jeudy , Javier Curiale , Sebastian Bustingorry

Experiments on fracture surface morphologies offer increasing amounts of data that can be analyzed using methods of statistical physics. One finds scaling exponents associated with correlation and structure functions, indicating a rich…

Materials Science · Physics 2009-11-11 Eran Bouchbinder , Itamar Procaccia , Shani Sela

It is shown by Monte Carlo method that the finite size scaling (FSS) holds in the two dimensional random-coupled Ising ferromagnet. It is also demonstrated that the form of universal FSS function constructed via novel FSS scheme depends on…

Statistical Mechanics · Physics 2009-10-31 Jae-Kwon Kim