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The dynamics of particles interacting by key-lock binding of attached biomolecules are studied theoretically. Examples of such systems include DNA-functionalized colloids as well as nanoparticles grafted with antibodies to cell membrane…

软凝聚态物质 · 物理学 2007-05-23 Nicholas A. Licata , Alexei V. Tkachenko

Driven granular systems readily form glassy phases at high particle volume fractions and low driving amplitudes. We use computer simulations of a driven granular glass to evidence a re-entrance melting transition into a fluid state, which,…

软凝聚态物质 · 物理学 2013-02-19 Jan Plagge , Claus Heussinger

Spin glasses are systems whose magnetic moments freeze at low temperature into random orientations without long-range order. It is generally accepted that both frustration and disorder are essential ingredients in all spin glasses, so it…

强关联电子 · 物理学 2009-11-13 E. A. Goremychkin , R. Osborn , B. D. Rainford , R. T. Macaluso , D. T. Adroja , M. Koza

We present a theory for the dynamics of a binary mixture with particle size swaps. The theory is based on a factorization approximation similar to that employed in the mode-coupling theory of glassy dynamics. The theory shows that, in…

软凝聚态物质 · 物理学 2018-11-14 Grzegorz Szamel

The effect of applied magnetic fields on the collective nonequilibrium dynamics of a strongly interacting Fe-C nanoparticle system has been investigated. It is experimentally shown that the magnetic aging diminishes to finally disappear for…

材料科学 · 物理学 2009-11-07 P. E. Jönsson , S. Felton , P. Svedlindh , P. Nordblad , M. F. Hansen

A highly concentrated (17 vol.%) Fe-C nano-particle system, with a narrow size distribution $d = 5.4\pm 0.4$ nm, has been investigated using magnetic ac susceptibility measurements covering a wide range of frequencies (17 mHz - 170 Hz). A…

材料科学 · 物理学 2009-10-31 P. Jönsson , P. Svedlindh , P. Nordblad , M. F. Hansen

Spin glasses are magnetic systems exhibiting both quenched disorder and frustration, and have often been cited as examples of `complex systems.' In this talk I review some of the basic notions of spin glass physics, and discuss how some of…

无序系统与神经网络 · 物理学 2018-03-28 D. L. Stein

Driven particles in presence of crowded environment, obstacles or kinetic constraints often exhibit negative differential mobility (NDM) due to their decreased dynamical activity. We propose a new mechanism for complex many-particle systems…

统计力学 · 物理学 2018-06-06 Amit Kumar Chatterjee , Urna Basu , P. K. Mohanty

The slow dynamics and concomitant memory (aging) effects seen in nanomagnetic systems are analyzed on the basis of two separate paradigms : superparamagnets and spinglasses. It is argued that in a large class of aging phenomena it suffices…

统计力学 · 物理学 2009-11-11 Malay Bandyopadhyay , Sushanta Dattagupta

In this talk I present some of the recent theoretical results that have been obtained on glassy systems like spin glasses or structural glasses. The physical principles at the basis of the theory are explained in a simple language (without…

无序系统与神经网络 · 物理学 2015-06-25 Giorgio Parisi

Dilute dipolar systems in three dimensions are expected to undergo a spin glass transition as the temperature decreases. Contrary to this, we find from Wang-Landau Monte Carlo simulations that at low concentrations $x$, dipoles randomly…

软凝聚态物质 · 物理学 2009-11-11 Joseph Snider , Clare C. Yu

This paper is divided into two parts. The first part concerns several standard scenarios for how short-range spin glasses might behave at low temperature. Earlier theorems of the authors are reviewed, and some new results presented,…

无序系统与神经网络 · 物理学 2007-05-23 C. M. Newman , D. L. Stein

A novel theoretical expression for the relaxation time of magnetic nanoparticles with dipolar interactions is derived from Kramers' theory, extending the Boltzmann-Gibbs framework to incorporate Tsallis statistics. The model provides a…

介观与纳米尺度物理 · 物理学 2026-03-10 Jean Claudio Cardoso Cerbino , Diego Muraca

We investigate how structural relaxation in mixtures with strong dynamical asymmetry is affected by the microscopic dynamics. Brownian and Newtonian dynamics simulations of dense mixtures of fast and slow hard spheres reveal a striking…

软凝聚态物质 · 物理学 2017-10-02 Suvendu Mandal , Thomas Franosch , Thomas Voigtmann

We numerically investigate slow dynamics of a binary mixture of ultrasoft particles interacting with the generalized Hertzian potential. If the softness parameter, $\alpha$, is small, the particles at high densities start penetrating each…

软凝聚态物质 · 物理学 2019-03-27 Ryoji Miyazaki , Takeshi Kawasaki , Kunimasa Miyazaki

Spin glasses and many-body localization (MBL) are prime examples of ergodicity breaking, yet their physical origin is quite different: the former phase arises due to rugged classical energy landscape, while the latter is a…

无序系统与神经网络 · 物理学 2021-01-14 Louk Rademaker , Dmitry A. Abanin

Spin glasses occupy a unique place in condensed matter: they freeze collectively while remaining struc-turally disordered, and they exhibit slow, history-dependent dynamics that reflect an exceptionally rug-ged free-energy landscape. This…

无序系统与神经网络 · 物理学 2025-12-25 Naeimeh Tahriri , Vahid Mahdikhah , Jahanfar Abouie , Daryoosh Vashaee

Aging in spin glasses (and in some other systems) reveals astonishing effects of `rejuvenation and memory' upon temperature changes. In this paper, we propose microscopic mechanisms (at the scale of spin-spin interactions) which can be at…

无序系统与神经网络 · 物理学 2009-11-07 S. Miyashita , E. Vincent

We consider the problem of slow activation dynamics in glassy systems undergoing a random first order phase transition. Using an effective potential approach to supercooled liquids, we determine the spectrum of activation barriers for…

无序系统与神经网络 · 物理学 2013-05-29 Maxim Dzero , Joerg Schmalian , Peter G. Wolynes

This chapter is aimed at studying the anomalous magnetic properties (glassy behaviour) observed at low temperatures in nanoparticles of ferrimagnetic oxides. This topic is discussed both from numerical results and experimental data.…

材料科学 · 物理学 2007-05-23 Amilcar Labarta , Xavier Batlle , Oscar Iglesias