Topological melting in networks of granular materials

被引:0
|
作者
Najlaa Alalwan
Alex Arenas
Ernesto Estrada
机构
[1] University of Strathclyde,Department of Mathematics and Statistics
[2] Universitat Rovira i Virgili,Departament d’Enginyeria Informàtica i Matemàtiques
[3] Universidad de Zaragoza,Institute of Applied Mathematics (IUMA)
[4] Government of Aragón,ARAID Foundation
[5] Universidade de São Paulo,Instituto de Ciências Matemáticas e de Computação
来源
Journal of Mathematical Chemistry | 2019年 / 57卷
关键词
Granular materials; Melting; Phase transition; Graph spectrum; Communicability function; Matrix functions;
D O I
暂无
中图分类号
学科分类号
摘要
Granular materials represent a vast category of particle conglomerates with many areas of industrial applications. Here we represent these materials by graphs which capture their topological organization and ordering. Then, using the communicability function—a topological descriptor representing the thermal Green function of a network of harmonic oscillators—we prove the existence of a universal topological melting transition in these graphs. This transition resembles the melting process occurring in solids. We show here that crystalline-like granular materials melts at lower temperatures and display a sharper transition between solid to liquid phases than the random spatial graphs, which represent amorphous granular materials. In addition, we show the evolution mechanism of melting in these granular materials. In the particular case of crystalline materials the process starts by melting a central core of the crystal which then growth until the whole material is in the liquid phase. We provide experimental confirmation from published literature about this process.
引用
收藏
页码:875 / 894
页数:19
相关论文
共 50 条
  • [21] Using infrared thermography to study hydrostatic stress networks in granular materials
    Jongchansitto, Pawarut
    Balandraud, Xavier
    Grediac, Michel
    Beitone, Clement
    Preechawuttipong, Itthichai
    SOFT MATTER, 2014, 10 (43) : 8603 - 8607
  • [22] Directed force chain networks and stress response in static granular materials
    Socolar, JES
    Schaeffer, DG
    Claudin, P
    EUROPEAN PHYSICAL JOURNAL E, 2002, 7 (04): : 353 - 370
  • [23] Bridging length scales in granular materials using convolutional neural networks
    Utkarsh Mital
    José E. Andrade
    Computational Particle Mechanics, 2022, 9 : 221 - 235
  • [24] Bridging length scales in granular materials using convolutional neural networks
    Mital, Utkarsh
    Andrade, Jose E.
    COMPUTATIONAL PARTICLE MECHANICS, 2022, 9 (01) : 221 - 235
  • [25] Topological defects and topological materials
    Saxena, Avadh
    INTEGRATED FERROELECTRICS, 2016, 174 (01) : 1 - 7
  • [26] Topological change of topological materials
    Matsuura, T
    Tanda, S
    Asada, K
    Sakai, Y
    Tsuneta, T
    Inagaki, K
    Yamaya, K
    TOWARDS THE CONTROLLABLE QUANTUM STATES: MESOSCOPIC SUPERCONDUCTIVITY AND SPINTRONICS, 2003, : 207 - 212
  • [27] Experimental study on the granular ice melting
    Wang, JG
    Ma, YT
    Zha, ST
    CRYOGENICS AND REFRIGERATION - PROCEEDINGS OF ICCR'2003, 2003, : 738 - 741
  • [28] Topological characterization of the microstructure of magnesium alloy materials based on complex networks
    Yang, Yongxin
    Shi, Yanhong
    Feng, Yashan
    Li, Jiang
    Yang, Shaolong
    Liu, Huazhou
    Qu, Chenming
    Wei, Baoli
    Applied Mathematics and Nonlinear Sciences, 2024, 9 (01)
  • [29] Topological nature of dislocation networks in two-dimensional moir? materials
    Engelke, Rebecca
    Yoo, Hyobin
    Carr, Stephen
    Xu, Kevin
    Cazeaux, Paul
    Allen, Richard
    Valdivia, Andres Mier
    Luskin, Mitchell
    Kaxiras, Efthimios
    Kim, Minhyong
    Han, Jung Hoon
    Kim, Philip
    PHYSICAL REVIEW B, 2023, 107 (12)
  • [30] TOPOLOGICAL DESCRIPTION OF THE DENSIFICATION OF A GRANULAR MEDIUM
    PRASAD, PB
    JERNOT, JP
    JOURNAL OF MICROSCOPY-OXFORD, 1991, 163 : 211 - 220