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The geometry of jamming algorithms in the random Lorentz gas
Giampaolo Folena1, Patrick Charbonneau2,3, Peter K Morse4
1Dipartimento di Fisica, Sapienza Università di Roma, Roma 00185, Italy.
This study reveals that the geometric properties of energy landscapes define inherent structures in disordered matter, confirming the geometric nature of jamming. Algorithms explore these structures differently, impacting density but not the universal force distribution.
Area of Science:
- Physics
- Complex Systems
- Statistical Mechanics
Background:
- Deterministic optimization algorithms partition energy landscapes into inherent structures (ISs) and basins of attraction.
- Understanding hard sphere jamming, a model for disordered matter, hinges on whether these basins are geometrically defined.
Purpose of the Study:
- To investigate if geometric principles alone can define basins of attraction in energy landscapes.
- To explore the nature of inherent structures (ISs) in the hard-sphere jamming universality class.
Main Methods:
- Proposal of a geometric class of gradient descent-like algorithms.
- Application of these algorithms to the random Lorentz gas system, a model in the hard-sphere universality class.
Main Results:
- The statistics of inherent structures (ISs) are inherited from Poisson-Voronoi tessellations.
- Landscape roughness leads to a hierarchical organization of ISs, explored differently by various algorithms (greedy vs. reluctant).
- Despite differing densities favored by algorithms, ISs exhibit a universal force distribution.
Conclusions:
- The jamming universality class is confirmed to be geometric in nature.
- A dynamical Gardner transition's physical origin is identified within this framework.
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