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Numerical test of the Edwards conjecture shows that all packings are equally probable at jamming
- Publication Year :
- 2017
- Publisher :
- Springer Nature, 2017.
-
Abstract
- A decades-old proposal that all distinct packings are equally probable in granular media has gone unproven due to the sheer number of packings involved. Numerical simulation now demonstrates that it holds — precisely at the jamming threshold. In the late 1980s, Sam Edwards proposed a possible statistical-mechanical framework to describe the properties of disordered granular materials1. A key assumption underlying the theory was that all jammed packings are equally likely. In the intervening years it has never been possible to test this bold hypothesis directly. Here we present simulations that provide direct evidence that at the unjamming point, all packings of soft repulsive particles are equally likely, even though generically, jammed packings are not. Typically, jammed granular systems are observed precisely at the unjamming point since grains are not very compressible. Our results therefore support Edwards’ original conjecture. We also present evidence that at unjamming the configurational entropy of the system is maximal.
- Subjects :
- Configuration entropy
General Physics and Astronomy
FOS: Physical sciences
Granular media
Jamming
Condensed Matter - Soft Condensed Matter
soft materials
01 natural sciences
010305 fluids & plasmas
0103 physical sciences
statistical physics, thermodynamics and nonlinear dynamics
Numerical tests
Statistical physics
010306 general physics
Condensed Matter - Statistical Mechanics
Physics
Condensed Matter - Materials Science
Conjecture
Computer simulation
Statistical Mechanics (cond-mat.stat-mech)
computational science
Materials Science (cond-mat.mtrl-sci)
Disordered Systems and Neural Networks (cond-mat.dis-nn)
Computational Physics (physics.comp-ph)
Condensed Matter - Disordered Systems and Neural Networks
Soft materials
Soft Condensed Matter (cond-mat.soft)
Physics - Computational Physics
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....244eda18c8561933de3300c859df42e4