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相关论文: Ridge Network in Crumpled Paper

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We measure the geometry of a crumpled sheet of paper with laser-aided topography and discuss its statistical properties. The curvature of an elasto-plastic fold scales linearly with applied force. The curvature distribution follows an…

软凝聚态物质 · 物理学 2009-11-10 Daniel L. Blair , Arshad Kudrolli

A statistical study of crumpled paper is allowed by a minimal 1D model: a self-avoiding line bent at sharp angles -- in which resides the elastic energy -- put in a confining potential. Many independent equilibrium configurations are…

软凝聚态物质 · 物理学 2009-11-11 Eric Sultan , Arezki Boudaoud

As a confined thin sheet crumples, it spontaneously segments into flat facets delimited by a network of ridges. Despite the apparent disorder of this process, statistical properties of crumpled sheets exhibit striking reproducibility.…

软凝聚态物质 · 物理学 2021-03-08 Jovana Andrejevic , Lisa M. Lee , Shmuel M. Rubinstein , Chris H. Rycroft

When a thin elastic sheet is confined to a region much smaller than its size the morphology of the resulting crumpled membrane is a network of straight ridges or folds that meet at sharp vertices. A virial theorem predicts the ratio of the…

凝聚态物理 · 物理学 2009-10-28 Alexander E. Lobkovsky , T. A. Witten

Compared to the heavily studied surface drainage systems, the mountain ridge systems have been a subject of less attention even on the empirical level, despite the fact that their structure is richer. To reduce this deficiency, we analyze…

Data describing the three-dimensional structure of physical networks is increasingly available, leading to a surge of interest in network science to explore the relationship between the shape and connectivity of physical networks. We…

物理与社会 · 物理学 2024-08-20 Luka Blagojević , Márton Pósfai

We study whether and how the energy scalings based on the single-ridge approximation are revised in an actual crumpled sheet; namely, in the presence of ridge-ridge interactions. Molecular Dynamics Simulation is employed for this purpose.…

软凝聚态物质 · 物理学 2015-06-15 Shiuan-Fan Liou , Chun-Chao Lo , Ming-Han Chou , Pai-Yi Hsiao , Tzay-Ming Hong

In this paper we model the tomography of scale free networks by studying the structure of layers around an arbitrary network node. We find, both analytically and empirically, that the distance distribution of all nodes from a specific…

凝聚态物理 · 物理学 2013-05-29 R. Cohen , D. Dolev , S. Havlin , T. Kalisky , O. Mokryn , Y. Shavitt

A generalization of the random geometric graph (RGG) model is proposed by considering a set of points uniformly and independently distributed on a rectangle of unit area instead of on a unit square [0,1]^2. The topological properties of the…

物理与社会 · 物理学 2015-05-20 Ernesto Estrada , Matthew Sheerin

We generalize the degree-organizational view of real-world networks with broad degree-distributions in a landscape analogue with mountains (high-degree nodes) and valleys (low-degree nodes). For example, correlated degrees between adjacent…

物理与社会 · 物理学 2008-02-01 Jacob Bock Axelsen , Sebastian Bernhardsson , Martin Rosvall , Kim Sneppen , Ala Trusina

Spatial networks are networks where nodes are located in a space equipped with a metric. Typically, the space is two-dimensional and until recently and traditionally, the metric that was usually considered was the Euclidean distance. In…

组合数学 · 数学 2022-11-29 Ramon Ferrer-i-Cancho

Leaves and flowers frequently have a characteristic rippling pattern at their edges. Recent experiments found similar patterns in torn plastic. These patterns can be reproduced by imposing metrics upon thin sheets. The goal of this paper is…

软凝聚态物质 · 物理学 2022-10-12 M. Marder

We introduce a growing network model in which a new node attaches to a randomly-selected node, as well as to all ancestors of the target node. This mechanism produces a sparse, ultra-small network where the average node degree grows…

统计力学 · 物理学 2009-11-10 P. L. Krapivsky , S. Redner

A complex network approach is proposed to study the shear behavior of a rough rock joint. Similarities between aperture profiles are established and a general network in two directions (in parallel and perpendicular to the shear direction)…

地球物理 · 物理学 2014-01-03 H. O. Ghaffari , M. Sharifzadeh , E. Evgin

Many real-world networks are intrinsically directed. Such networks include activation of genes, hyperlinks on the internet, and the network of followers on Twitter among many others. The challenge, however, is to create a network model that…

社会与信息网络 · 计算机科学 2022-04-15 Jesse Michel , Sushruth Reddy , Rikhav Shah , Sandeep Silwal , Ramis Movassagh

Due to the fact that the numbers of annually published papers have witnessed a linear growth in some citation networks, a geometric model is thus proposed to predict some statistical features of those networks, in which the academic…

物理与社会 · 物理学 2016-07-07 Qi Liu , Zheng Xie , Engming Dong , Jianping Li

Rooted phylogenetic networks are used by biologists to infer and represent complex evolutionary relationships between species that cannot be accurately explained by a phylogenetic tree. Tree-child networks are a particular class of rooted…

组合数学 · 数学 2024-09-02 Janosch Döcker , Simone Linz

Based on solid theoretical foundations, we present strong evidences that a number of real-life networks, taken from different domains like Internet measurements, biological data, web graphs, social and collaboration networks, exhibit…

社会与信息网络 · 计算机科学 2014-02-24 Muad Abu-Ata , Feodor F. Dragan

The local minima (inherent structures) of a system and their associated transition links give rise to a network. Here we consider the topological and distance properties of such a network in the context of spin glasses. We use steepest…

无序系统与神经网络 · 物理学 2009-11-13 Z. Burda , A. Krzywicki , O. C. Martin

We define gradient networks as directed graphs formed by local gradients of a scalar field distributed on the nodes of a substrate network G. We derive an exact expression for the in-degree distribution of the gradient network when the…

无序系统与神经网络 · 物理学 2007-05-23 Zoltan Toroczkai , Balazs Kozma , Kevin E. Bassler , N. W. Hengartner , G. Korniss
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