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Although several theories relate the steep slowdown of glass formers to increasing spatial correlations of some sort, standard static correlation functions show no evidence for this. We present results that reveal for the first time a…

无序系统与神经网络 · 物理学 2011-08-31 G. Biroli , J. -P. Bouchaud , A. Cavagna , T. S. Grigera , P. Verrocchio

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

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

While the transformation of flowing liquids into rigid glasses is omnipresent, a complete understanding of vitrification remains elusive. Of the numerous approaches aimed at solving the glass transition problem, the Random First-Order…

软凝聚态物质 · 物理学 2015-05-20 K. Hima Nagamanasa , Shreyas Gokhale , A. K. Sood , Rajesh Ganapathy

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

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 Random First Order Transition (RFOT) theory of glasses provides a unified framework for explaining the observed correlations of the kinetic and thermodynamic behaviors of glass-forming liquids having a wide variety of chemical…

软凝聚态物质 · 物理学 2025-07-29 M. H. Brown , P. G. Wolynes

According to the Random First Order Transition (RFOT) theory of glasses, the barriers for activated dynamics in supercooled liquids vanish as the temperature of a viscous liquid approaches the dynamical transition temperature from below.…

无序系统与神经网络 · 物理学 2009-11-10 Vassiliy Lubchenko , Peter G. Wolynes

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

Dynamics near the surface of glasses is generally much faster than in the bulk. Neglecting static perturbations of structure at the surface, we use random first order transition theory to show the free energy barrier for activated motion…

软凝聚态物质 · 物理学 2009-11-13 Jacob D. Stevenson , Peter G. Wolynes

The Random First Order Transition Theory (RFOT) predicts that transport proceeds by cooperative movement of particles in domains whose sizes increase as a liquid is compressed above a characteristic volume fraction, $\phi_d$. The rounded…

软凝聚态物质 · 物理学 2024-12-24 Rajsekhar Das , T. R. Kirkpatrick , D. Thirumalai

Elucidating the nature of the glass transition has been the holy grail of condensed matter physics and statistical mechanics for several decades. A phenomenological aspect that makes glass formation a conceptually formidable problem is that…

软凝聚态物质 · 物理学 2016-08-11 Shreyas Gokhale , K. Hima Nagamanasa , A. K. Sood , Rajesh Ganapathy

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

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 analyze the ways in which the random first order phase transition (RFOT) of the glass transition differs from the well-studied regular first order and second order (or continuous) phase transitions. Just as is the case in the latter two…

统计力学 · 物理学 2024-09-23 T. R. Kirkpatrick , D. Thirumalai

The number of compact structures of a single condensed polymer (SCP), with similar free energies, grows exponentially with the degree of polymerization. In analogy with structural glasses (SGs), we expect that at low temperatures chain…

软凝聚态物质 · 物理学 2021-04-07 Hyun Woo Cho , Guang Shi , T. R. Kirkpatrick , D. Thirumalai

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

We review 15 years of theoretical and experimental work on the non-linear response of glassy systems. We argue that an anomalous growth of the peak value of non-linear susceptibilities is a signature of growing "amorphous order" in the…

无序系统与神经网络 · 物理学 2021-01-12 Giulio Biroli , Jean-Philippe Bouchaud , Francois Ladieu

Recent theories predict that when a supercooled liquid approaches the glass transition, particle clusters with a special "amorphous order" nucleate within the liquid, which lead to static correlations dictating the dramatic slowdown of…

软凝聚态物质 · 物理学 2016-03-04 Bo Zhang , Xiang Cheng

At the mean-field level, on fully connected lattices, several disordered spin models have been shown to belong to the universality class of "structural glasses", with a "random first-order transition" (RFOT) characterized by a discontinuous…

无序系统与神经网络 · 物理学 2012-10-11 C. Cammarota , G. Biroli , M. Tarzia , G. Tarjus
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