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相关论文: The Random First Order Transition Theory of Glasse…

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We review the Random First Order Transition Theory of the glass transition, emphasizing the experimental tests of the theory. Many distinct phenomena are quantitatively predicted or explained by the theory, both above and below the glass…

无序系统与神经网络 · 物理学 2015-06-25 Vassiliy Lubchenko , P. G. Wolynes

We describe our perspective on the Structural Glass Transition (SGT) problem built on the premise that a viable theory must provide a consistent picture of the dynamics and statics, which are manifested by large increase in shear viscosity…

软凝聚态物质 · 物理学 2009-12-15 T. R. Kirkpatrick , D. Thirumalai

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

The routine transformation of a liquid, as it is cooled rapidly, resulting in glass formation, is remarkably complex. A theoretical explanation of the dynamics associated with this process has remained one of the major unsolved problems in…

无序系统与神经网络 · 物理学 2014-12-17 T. R. Kirkpatrick , D. Thirumalai

The aim of this paper is to summarise the basic arguments and the intuition bolstering the RFOT picture for glasses, based on a finite dimensional extension of mean-field models with an exponentially large number of metastable states. We…

无序系统与神经网络 · 物理学 2009-12-15 G. Biroli , J. P. Bouchaud

We consider the effect of droplet excitations in the random first order transition theory of glasses on the configurational entropy. The contribution of these excitations is estimated both at and above the ideal glass transition…

统计力学 · 物理学 2009-11-07 M. P. Eastwood , P. G. Wolynes

We develop a real space renormalisation group analysis of disordered models of glasses, in particular of the spin models at the origin of the Random First Order Transition theory. We find three fixed points respectively associated to the…

无序系统与神经网络 · 物理学 2017-07-05 Maria Chiara Angelini , Giulio Biroli

The steep increase of the relaxation time of glass forming liquids upon cooling is traditionally ascribed to an impending entropy crisis: since the system has "nowhere to go", dynamics must come to a halt. This classic argument, due to Adam…

无序系统与神经网络 · 物理学 2024-02-23 Jean-Philippe Bouchaud

We provide here a brief perspective on the glass transition field. It is an assessment, written from the point of view of theory, of where the field is and where it seems to be heading. We first give an overview of the main phenomenological…

统计力学 · 物理学 2015-06-15 Giulio Biroli , Juan P. Garrahan

We consider the approach describing glass formation in liquids as a progressive trapping in an exponentially large number of metastable states. To go beyond the mean-field setting, we provide a real-space renormalization group (RG) analysis…

无序系统与神经网络 · 物理学 2012-03-15 Chiara Cammarota , Giulio Biroli , Marco Tarzia , Gilles Tarjus

A unified treatment of structural relaxation in a deeply supercooled glassy liquid is developed which extends the existing mode coupling theory (MCT) by incorporating the effects of activated events by using the concepts from the random…

无序系统与神经网络 · 物理学 2007-05-23 Sarika Maitra Bhattacharyya , Biman Bagchi , Peter G. Wolynes

For disordered systems within the random first-order transition (RFOT) universality class, such as structural glasses and certain spin glasses, the role played by activated relaxation processes is rich to the point of perplexity. Over the…

无序系统与神经网络 · 物理学 2026-03-10 Patrick Charbonneau , Giampaolo Folena , Enrico M. Malatesta , Tommaso Rizzo , Francesco Zamponi

We review a theoretical perspective of the dynamics of glass forming liquids and the glass transition. It is a perspective we have developed with our collaborators during this decade. It is based upon the structure of trajectory space. This…

软凝聚态物质 · 物理学 2010-04-20 David Chandler , Juan P. Garrahan

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

In these notes we introduce briefly the fundamentals of the replica method in the context of liquid theory and the structural glass problem. In particular, we explain and show its usefulness as a computation framework in the context of the…

软凝聚态物质 · 物理学 2015-04-14 Corrado Rainone

We use Brownian dynamics simulations of a binary mixture of highly charged spherical colloidal particles to illustrate many of the implications of the Random First Order Transition (RFOT) theory (PRA 40 1045 (1989)), which is the only…

统计力学 · 物理学 2015-06-12 Hongsuk Kang , T. R. Kirkpatrick , D. Thirumalai

In this talk, after a short phenomenological introduction on glasses, I will describe some recent progresses that have been done in glasses using the replica method in the definition and in the evaluation of the configurational entropy (or…

无序系统与神经网络 · 物理学 2009-10-31 Giorgio Parisi

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 remarkable strength of glasses is examined using the random first order transition theory of the glass transition. The theory predicts that strength depends on elastic modulus but also on the configurational energy frozen in when the…

无序系统与神经网络 · 物理学 2015-06-05 Apiwat Wisitsorasak , Peter G. Wolynes

In the context of the random first order transition theory we use an extended mode coupling theory of the glass transition that includes activated events to account for spatiotemporal structures in aging and rejuvenating glasses. We…

无序系统与神经网络 · 物理学 2015-06-15 Apiwat Wisitsorasak , Peter G. Wolynes
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