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相关论文: Response properties in a model for granular matter

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To study materials phenomena simultaneously at various length scales, descriptions in which matter can be coarse grained to arbitrary levels, are necessary. Attempts to do this in the static regime (i.e. zero temperature) have already been…

材料科学 · 物理学 2009-11-07 Stefano Curtarolo , Gerbrand Ceder

Granular materials are ubiquitous in nature and are used extensively in daily life and in industry. The modeling of these materials remains challenging; therefore, finding models with acceptable predictive accuracy that at the same time…

We study a lattice-gas model of penetrable particles on a square-lattice substrate with same-site and nearest-neighbor interactions. Penetrability implies that the number of particles occupying a single lattice site is unlimited and the…

软凝聚态物质 · 物理学 2020-08-21 Derek Frydel , Yan Levin

Granular media (e.g., cereal grains, plastic resin pellets, and pills) are ubiquitous in robotics-integrated industries, such as agriculture, manufacturing, and pharmaceutical development. This prevalence mandates the accurate and efficient…

机器人学 · 计算机科学 2020-11-06 Carolyn Matl , Yashraj Narang , Ruzena Bajcsy , Fabio Ramos , Dieter Fox

For random matrices with tree-like structure there exists a recursive relation for the local Green functions whose solution permits to find directly many important quantities in the limit of infinite matrix dimensions. The purpose of this…

无序系统与神经网络 · 物理学 2015-06-17 E. Bogomolny , O. Giraud

The present acceleration of the Universe strongly indicated by recent observational data can be modeled in the scope of a scalar-tensor theory of gravity. We show that it is possible to determine the structure of this theory (the scalar…

广义相对论与量子宇宙学 · 物理学 2009-10-31 B. Boisseau , G. Esposito-Farese , D. Polarski , A. A. Starobinsky

Using molecular dynamics simulations, we study the slow dynamics of supercooled liquids confined in a random matrix of immobile obstacles. We study the dynamical crossover from glass-like to Lorentz-gas-like behavior in terms of the density…

软凝聚态物质 · 物理学 2011-05-30 Kang Kim , Kunimasa Miyazaki , Shinji Saito

Impact of an intruder on granular matter leads to formation of mesoscopic force networks seen particularly clearly in the recent experiments carried out with photoelastic particles, e.g., Clark et al., Phys. Rev. Lett., 114 144502 (2015).…

软凝聚态物质 · 物理学 2018-01-17 T. Tadanaga , Abram H. Clark , T. Majmudar , L. Kondic

Spatial heterogeneity in the elastic properties of soft random solids is investigated via a two-pronged approach. First, a nonlocal phenomenological model for the elastic free energy is examined. This features a quenched random kernel,…

无序系统与神经网络 · 物理学 2011-12-06 Xiaoming Mao , Paul M. Goldbart , Xiangjun Xing , Annette Zippelius

Flows of granular media down a rough inclined plane demonstrate a number of nonlocal phenomena. We apply the recently proposed nonlocal granular fluidity model to this geometry and find that the model captures many of these effects.…

软凝聚态物质 · 物理学 2014-08-25 Ken Kamrin , David Henann

Although jammed granular systems are athermal, several thermodynamic-like descriptions have been proposed which make quantitative predictions about the distribution of volume and stress within a system and provide a corresponding…

软凝聚态物质 · 物理学 2015-06-05 James G. Puckett , Karen E. Daniels

The dilatancy angle describes the propensity of a granular medium to dilate under an applied shear. Using a simple spin model (the ``tetris'' model) which accounts for geometrical ``frustration'' effects, we study such a dilatancy angle as…

统计力学 · 物理学 2009-10-31 M. Piccioni , V. Loreto , S. Roux

We study the problem of characterizing the effective (homogenized) properties of materials whose diffusive properties are modeled with random fields. Focusing on elliptic PDEs with stationary and ergodic random coefficient functions, we…

概率论 · 数学 2015-08-20 Alen Alexanderian

When granular mixtures of different sizes are fluidized, each species spontaneously separates and condenses to form patterns. Although granular segregation has been extensively studied, the inability to directly observe the time evolution…

软凝聚态物质 · 物理学 2023-03-31 Hiroyuki Ebata , Shio Inagaki

We introduce the concept of Randomly Modulated Gaussian Processes as a unifying framework for modeling, analyzing and classifying anomalous diffusion models in heterogeneous media. This formulation incorporates correlations in the…

生物物理 · 物理学 2026-03-16 Yann Lanoiselée , Denis S. Grebenkov , Gianni Pagnini

We develop a mesoscopic modeling framework for diffusion in a crowded environment, particularly targeting applications in the modeling of living cells. Through homogenization techniques we effectively coarse-grain a detailed microscopic…

亚细胞过程 · 定量生物学 2018-09-19 Stefan Engblom , Per Lötstedt , Lina Meinecke

The existence of a very special ratcheting regime has recently been reported in a granular packing subjected to cyclic loading \cite{alonso04}. In this state, the system accumulates a small permanent deformation after each cycle. After a…

材料科学 · 物理学 2016-08-16 R. García-Rojo , F. Alonso-Marroquín , H. J. Herrmann

Stimuli-responsive gels are the gels that vary the volume depending on environmental conditions. It has been reported that the stimuli-responsive gel with an inhomogeneous structure exhibits faster volume change than the gel without it. It…

软凝聚态物质 · 物理学 2024-07-23 Yuhei Yamada , Shingo Maeda

Non-linear latent variable models have become increasingly popular in a variety of applications. However, there has been little study on theoretical properties of these models. In this article, we study rates of posterior contraction in…

统计理论 · 数学 2017-01-27 Shuang Zhou , Debdeep Pati , Anirban Bhattacharya , David Dunson

Feedback loops are essential for regulating cell proliferation and maintaining the delicate balance between cell division and cell death. Thanks to the exact solution of a few simple models of cell growth it is by now clear that stochastic…

种群与进化 · 定量生物学 2023-03-07 Antonio Francesco Zirattu , Marta Biondo , Matteo Osella , Michele Caselle
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