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相关论文: A general approach to systems with randomly pinned…

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As a guideline for experimental tests of the ideal glass transition (Random Pinning Glass Transition, RPGT) that shall be induced in a system by randomly pinning particles, we performed first-principle computations within the Hypernetted…

无序系统与神经网络 · 物理学 2017-03-07 Chiara Cammarota , Beatriz Seoane

It is frequently assumed that in the limit of vanishing cooling rate, the glass transition phenomenon becomes a thermodynamic transition at a temperature $T_{K}$. However, with any finite cooling rate, the system falls out of equilibrium at…

统计力学 · 物理学 2015-05-13 Saurish Chakrabarty , Smarajit Karmakar , Chandan Dasgupta

We present a detailed analysis of glass transitions induced by pinning particles at random from an equilibrium configuration. We first develop a mean-field analysis based on the study of p-spin spherical disordered models and then obtain…

无序系统与神经网络 · 物理学 2014-10-13 Chiara Cammarota , Giulio Biroli

We study the effect of freezing the positions of a fraction $c$ of particles from an equilibrium configuration of a supercooled liquid at a temperature $T$. We show that within the Random First-Order Transition theory pinning particles…

无序系统与神经网络 · 物理学 2012-12-18 Chiara Cammarota , Giulio Biroli

We use computer simulations to investigate the static properties of a simple glass-forming fluid in which the positions of a finite fraction of the particles has been frozen in. By probing the equilibrium distribution of the overlap between…

无序系统与神经网络 · 物理学 2015-06-12 Walter Kob , Ludovic Berthier

In this paper, we consider some aspects of the physics of the partly pinned (PP) systems obtained by freezing in place particles in equilibrium bulk fluid configurations in the normal (nonglassy) state. We first discuss the configurational…

无序系统与神经网络 · 物理学 2014-09-11 Vincent Krakoviack

Pinning particles at random in supercooled liquids is a promising route to make substantial progress on the glass transition problem. Here we develop a mean-field theory by studying the equilibrium and non-equilibrium dynamics of the…

无序系统与神经网络 · 物理学 2012-12-18 Chiara Cammarota , Giulio Biroli

We study the thermodynamic and structural properties of the superconducting vortex system in high temperature layered superconductors, with magnetic field normal to the layers, in the presence of a small concentration of strong random point…

超导电性 · 物理学 2009-11-13 Chandan Dasgupta , Oriol T. Valls

We use computer simulations to probe the thermodynamic and dynamic properties of a glass-former that undergoes an ideal glass-transition because of the presence of randomly pinned particles. We find that even deep in the equilibrium glass…

无序系统与神经网络 · 物理学 2018-12-03 Misaki Ozawa , Atsushi Ikeda , Kunimasa Miyazaki , Walter Kob

Ultrastable glasses have risen to prominence due to their potentially useful material properties and the tantalizing possibility of a general method of preparation via vapor deposition. Despite the importance of this novel class of…

统计力学 · 物理学 2014-12-09 Glen M Hocky , Ludovic Berthier , David R. Reichman

We use a random pinning procedure to study amorphous order in two glassy spin models. On increasing the concentration of pinned spins at constant temperature, we find a sharp crossover (but no thermodynamic phase transition) from bulk…

统计力学 · 物理学 2015-03-19 Robert L. Jack , Ludovic Berthier

We use a simple mode-coupling approach to investigate glassy dynamics of partially pinned fluid systems. Our approach is different from the mode-coupling theory developed by Krakoviack [Phys. Rev. Lett. 94, 065703 (2005), Phys. Rev. E 84,…

无序系统与神经网络 · 物理学 2015-06-04 Grzegorz Szamel , Elijah Flenner

Extensive computer simulations are performed for a few model glass-forming liquids in both two and three dimensions to study their dynamics when a randomly chosen fraction of particles are frozen in their equilibrium positions. For all the…

统计力学 · 物理学 2016-08-03 Saurish Chakrabarty , Rajsekhar Das , Smarajit Karmakar , Chandan Dasgupta

The random first-order transition (RFOT) theory of the structural glass transition is reviewed in a pedagogical fashion. The rigidity that emerges in crystals and glassy liquids is of the same fundamental origin. In both cases, it…

无序系统与神经网络 · 物理学 2015-11-20 Vassiliy Lubchenko

We use computer simulations to study the thermodynamic properties of a glass former in which a fraction $c$ of the particles has been permanently frozen. By thermodynamic integration, we determine the Kauzmann, or ideal glass transition,…

软凝聚态物质 · 物理学 2018-02-28 Misaki Ozawa , Walter Kob , Atsushi Ikeda , Kunimasa Miyazaki

The study of the mean-field static solution of the Random Blume-Emery-Griffiths-Capel model, an Ising-spin lattice gas with quenched random magnetic interaction, is performed. The model exhibits a paramagnetic phase, described by a stable…

统计力学 · 物理学 2009-11-10 Andrea Crisanti , Luca Leuzzi

Phase transitions in spin glass type systems and, more recently, in related computational problems have gained broad interest in disparate arenas. In the current work, we focus on the "community detection" problem when cast in terms of a…

物理与社会 · 物理学 2013-11-11 Dandan Hu , Peter Ronhovde , Zohar Nussinov

In many interesting physical settings, such as the vulcanization of rubber, the introduction of permanent random constraints between the constituents of a homogeneous fluid can cause a phase transition to a random solid state. In this…

无序系统与神经网络 · 物理学 2009-10-31 Paul M. Goldbart

We analyze static point-to-set correlations in glass-forming liquids. The generic idea is to freeze the position of a set of particles in an equilibrium configuration and to perform sampling in the presence of this additional constraint.…

统计力学 · 物理学 2012-01-05 Ludovic Berthier , Walter Kob

We here confirm the occurrence of spin glass phase transition and extract estimates of associated critical exponents of a highly monodisperse and densely compacted system of bare maghemite nanoparticles. This system has earlier been found…

无序系统与神经网络 · 物理学 2013-07-02 R. Mathieu , J. A. De Toro , D. Salazar , S. S. Lee , J. L. Cheong , P. Nordblad
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