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The most difficult aspect of the realistic modeling of granular materials is how to capture the real shape of the particles. Here we present a method to simulate granular materials with complex-shaped particles. The particle shape is…

Materials Science · Physics 2008-04-18 F. Alonso-Marroquin , Yucang Wang

Our work focuses on anomaly detection in cyber-physical systems. Prior literature has three limitations: (1) Failing to capture long-delayed patterns in system anomalies; (2) Ignoring dynamic changes in sensor connections; (3) The curse of…

Machine Learning · Computer Science 2023-02-28 Ehtesamul Azim , Dongjie Wang , Yanjie Fu

The past decade has witnessed a surge of interest in exploring emergent particles in condensed matter systems. Novel particles, emerged as excitations around exotic band degeneracy points, continue to be reported in real materials and…

Mesoscale and Nanoscale Physics · Physics 2021-12-28 Zhi-Ming Yu , Zeying Zhang , Gui-Bin Liu , Weikang Wu , Xiao-Ping Li , Run-Wu Zhang , Shengyuan A Yang , Yugui Yao

Statistical mechanics explains the properties of macroscopic phenomena based on the movements of microscopic particles such as atoms and molecules. Movements of microscopic particles can be represented by large-scale interacting systems. In…

Probability · Mathematics 2026-04-15 Kenichi Bannai , Jun Koriki , Makiko Sasada , Hidetada Wachi , Shuji Yamamoto

Fisher Vectors and related orderless visual statistics have demonstrated excellent performance in object detection, sometimes superior to established approaches such as the Deformable Part Models. However, it remains unclear how these…

Computer Vision and Pattern Recognition · Computer Science 2015-04-21 David Novotný , Diane Larlus , Florent Perronnin , Andrea Vedaldi

The task of shape abstraction with semantic part consistency is challenging due to the complex geometries of natural objects. Recent methods learn to represent an object shape using a set of simple primitives to fit the target.…

Computer Vision and Pattern Recognition · Computer Science 2023-09-06 Di Liu , Long Zhao , Qilong Zhangli , Yunhe Gao , Ting Liu , Dimitris N. Metaxas

Since the discovery of graphene, two-dimensional materials with atomic level thickness have rapidly grown to be a prosperous field of physical science with interdisciplinary interests, for their fascinating properties and broad…

Materials Science · Physics 2020-11-20 Ming An , Shuai Dong

This manuscript introduces Diophantine labeling, a new way of labeling of the vertices for finite simple undirected graphs with some divisibility condition on the edges. Maximal graphs admitting Diophantine labeling are investigated and…

Combinatorics · Mathematics 2026-01-01 A. Nasr , A. Elsonbaty , M. A. Seoud , M. Anwar

Map matching and registration are essential tasks in robotics for localisation and integration of multi-session or multi-robot data. Traditional methods rely on cameras or LiDARs to capture visual or geometric information but struggle in…

Robotics · Computer Science 2025-08-22 William McDonald , Cedric Le Gentil , Jennifer Wakulicz , Teresa Vidal-Calleja

A pebbling move on a graph removes two pebbles at a vertex and adds one pebble at an adjacent vertex. Rubbling is a version of pebbling where an additional move is allowed. In this new move one pebble is removed at vertices v and w adjacent…

Combinatorics · Mathematics 2007-07-31 Christopher Belford , Nandor Sieben

In this paper we consider the degree/diameter problem, namely, given natural numbers {\Delta} \geq 2 and D \geq 1, find the maximum number N({\Delta},D) of vertices in a graph of maximum degree {\Delta} and diameter D. In this context, the…

Combinatorics · Mathematics 2014-05-06 Ramiro Feria-Purón , Mirka Miller , Guillermo Pineda-Villavicencio

This article proposes a topological method that extracts hierarchical structures of various amorphous solids. The method is based on the persistence diagram (PD), a mathematical tool for capturing shapes of multiscale data. The input to the…

We show that mass measurements for new particles appearing in decay chains can be improved by determining the boundary of the available phase space in its full dimensionality rather than by using one-dimensional kinematic features for each…

High Energy Physics - Phenomenology · Physics 2014-02-05 Prateek Agrawal , Can Kilic , Craig White , Jiang-Hao Yu

Sphere packing, Hilbert's eighteenth problem, asks for the densest arrangement of congruent spheres in n-dimensional Euclidean space. Although relevant to areas such as cryptography, crystallography, and medical imaging, the problem remains…

Artificial Intelligence · Computer Science 2025-12-09 Rasul Tutunov , Alexandre Maraval , Antoine Grosnit , Xihan Li , Jun Wang , Haitham Bou-Ammar

Given everyday artifacts, such as tables and chairs, humans recognize high-level regularities within them, such as the symmetries of a table, the repetition of its legs, while possessing low-level priors of their geometries, e.g., surfaces…

Computer Vision and Pattern Recognition · Computer Science 2022-06-28 Yichao Liang

We propose the use of partial dynamical symmetry (PDS) as a selection criterion for higher-order terms in situations when a prescribed symmetry is obeyed by some states and is strongly broken in others. The procedure is demonstrated in a…

Nuclear Theory · Physics 2013-04-16 A. Leviatan , J. E. Garcia-Ramos , P. Van Isacker

Developing on a recent work on localized bubbles of ordinary relativistic fluids, we study the comparatively richer leading order surface physics of relativistic superfluids, coupled to an arbitrary stationary background metric and gauge…

High Energy Physics - Theory · Physics 2017-09-21 Jay Armas , Jyotirmoy Bhattacharya , Akash Jain , Nilay Kundu

If the 750 GeV resonance in the diphoton channel is confirmed, what are the measurements necessary to infer the properties of the new particle and understand its nature? We address this question in the framework of a single new scalar…

High Energy Physics - Phenomenology · Physics 2016-08-24 Roberto Franceschini , Gian F. Giudice , Jernej F. Kamenik , Matthew McCullough , Francesco Riva , Alessandro Strumia , Riccardo Torre

Graph vertex ordering is widely employed in spatial data analysis, especially in urban analytics, where street graphs serve as spatial discretization for modeling and simulation. It is also crucial for visualization, as many methods require…

Graphics · Computer Science 2025-10-23 Karelia Salinas , Victor Barella , Thales Viera , Luis Gustavo Nonato

Object recognition and grasping plays a key role in robotic systems, especially for the autonomous robots to implement object sorting tasks in a warehouse. In this paper, we present a global texture-shape 3D feature descriptor which can be…

Computer Vision and Pattern Recognition · Computer Science 2019-06-20 Zhun Fan , Zhongxing Li , Benzhang Qiu , Wenji Li , Jianye Hu , Alex Noel Josephraj , Heping Chen