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We consider a Statistical Mechanics approach to granular systems by following the original ideas developed by Edwards. We use the concept of ``inherent states'', defined as the stable configurations in the potential energy landscape,…

凝聚态物理 · 物理学 2016-08-31 Antonio Coniglio , Mario Nicodemi

Years ago Edwards proposed a thermodynamic description of dense granular matter, in which the grains (the `atoms' of the system) interact with inelastic forces. The approach is intriguing but is not justified from first principles, and…

软凝聚态物质 · 物理学 2007-05-23 Hernan A. Makse , Jorge Kurchan

Granular matter is comprised of a large number of particles whose collective behavior determines macroscopic properties such as flow and mechanical strength. A comprehensive theory of the properties of granular matter, therefore, requires a…

统计力学 · 物理学 2009-11-13 Silke Henkes , Corey S. O'Hern , Bulbul Chakraborty

Statistical thermodynamics delivers the probability distribution of the equilibrium state of matter through the constrained maximization of a special functional, entropy. Its elegance and enormous success have led to numerous attempts to…

统计力学 · 物理学 2023-06-22 Themis Matsoukas

We experimentally investigate the statistical behaviour of a model two-dimensional granular system undergoing stationary sedimentation. Buoyant cylindrical particles are rotated in liquid-filled drum, thus confined in a harmonic centripetal…

软凝聚态物质 · 物理学 2019-05-01 Nariaki Sakaï , Sébastien Moulinet , Frédéric Lechenault , Mokhtar Adda-Bedia

We formulate thermodynamics of economic systems in terms of an arbitrary probability distribution for a conserved economic quantity. As in statistical physics, thermodynamic macroeconomic variables emerge as the mean value of microeconomic…

统计金融 · 定量金融 2011-05-26 H. Quevedo , M. N. Quevedo

The present paper proposes a Statistical Mechanics approach to the inherent states of glassy systems and granular materials, following the original ideas developed by Edwards for granular materials. Two lattice models, a diluted Spin Glass…

统计力学 · 物理学 2009-11-07 Annalisa Fierro , Mario Nicodemi , Antonio Coniglio

We consider the thermodynamic approach to the description of economic systems and processes. The first and second laws of thermodynamics as applied to economic systems are derived and analyzed. It is shown that there is a deep analogy…

综合金融 · 定量金融 2021-02-03 Sergey Rashkovskiy

A thermodynamics for systems at a stationary states is formulated. It is based upon the assumption of the existence of local equilibrium in phase space which enables one to interpret the probability density ans its conjugated nonequilibrium…

统计力学 · 物理学 2007-05-23 I. Santamaria-Holek , J. M. Rubi , A. Perez-Madrid

We show that intensive thermodynamic parameters associated to additive conserved quantities can be naturally defined from a statistical approach in far-from-equilibrium steady-state systems, under few assumptions, and without any detailed…

统计力学 · 物理学 2007-05-23 Eric Bertin , Olivier Dauchot , Michel Droz

We discuss a Statistical Mechanics approach in the manner of Edwards to the ``inherent states'' (defined as the stable configurations in the potential energy landscape) of glassy systems and granular materials. We show that at stationarity…

统计力学 · 物理学 2009-11-07 Annalisa Fierro , Mario Nicodemi , Antonio Coniglio

Using X-ray tomography, we experimentally investigate granular segregation phenomena in a mixture of particles with different densities under quasi-static cyclic shear. We quantitatively characterize their height distributions at steady…

软凝聚态物质 · 物理学 2024-07-16 Haiyang Lu , Houfei Yuan , Shuyang Zhang , Zhikun Zeng , Yi Xing , Jiazhao Xu , Xin Wang , Yujie Wang

We introduce a deductive statistical mechanics approach for granular materials which is formally built from few realistic physical assumptions. The main finding is an universal behavior for the distribution of the density fluctuations. Such…

软凝聚态物质 · 物理学 2008-06-25 T. Aste , T. Di Matteo

We suggest a simple model for the dynamics of granular particles in suspension which is suitable for an event driven algorithm, allowing to simulate $N=\mathcal{O}(10^6)$ particles or more. As a first application we consider a dense…

软凝聚态物质 · 物理学 2014-06-17 Andrea Fiege , Annette Zippelius

At the core of equilibrium statistical mechanics lies the notion of statistical ensembles: a collection of microstates, each occurring with a given a priori probability that depends only on a few macroscopic parameters such as temperature,…

统计力学 · 物理学 2015-06-19 Dapeng Bi , Silke Henkes , Karen E. Daniels , Bulbul Chakraborty

There is a long-standing question as to whether and to what extent it is possible to describe nonequilibrium systems in stationary states in terms of global thermodynamic functions. The positive answers have been obtained only for…

统计力学 · 物理学 2022-11-30 Robert Hołyst , Karol Makuch , Anna Maciołek , Paweł J. Żuk

Considering a broad class of steady-state nonequilibrium systems for which some additive quantities are conserved by the dynamics, we introduce from a statistical approach intensive thermodynamic parameters (ITPs) conjugated to the…

统计力学 · 物理学 2007-05-23 Eric Bertin , Kirsten Martens , Olivier Dauchot , Michel Droz

The non-equilibrium statistical mechanics and kinetic theory for a model of a confined quasi-two-dimensional gas of inelastic hard spheres is presented. The dynamics of the particles includes an effective mechanism to transfer the energy…

统计力学 · 物理学 2015-06-18 J. Javier Brey , M. I. García de Soria , P. Maynar , V. Buzón

In this book, we study Statistical Physics under conditions of thermodynamic equilibrium, starting from the definition of statistical ensembles. The book is divided into five chapters: First, a brief introduction to statistical methods.…

统计力学 · 物理学 2024-03-12 David A. Miranda , Carlos J. Paéz

For studying the thermodynamic properties of systems using statistical mechanics we propose an ensemble that lies in between the familiar canonical and microcanonical ensembles. From a comparative study of these ensembles we conclude that…

统计力学 · 物理学 2007-05-23 R. P. Venkataraman
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