The geometry of jamming algorithms in the random Lorentz gas

Deterministic optimization algorithms unequivocally partition a complex energy landscape into inherent structures (ISs) and their respective basins of attraction. Can these basins be defined solely through geometric principles? This question is paramount to understanding hard sphere jamming, a key model of disordered matter. We here address the issue by proposing a geometric class of gradient descent-like algorithms, which we use to study a system in the hard-sphere universality class, the random Lorentz gas. The statistics of the resulting ISs is found to be strictly inherited from those of Poisson-Voronoi tessellations. The landscape roughness is further found to give rise to a hierarchical organization of ISs, which various algorithms explore differently. In particular, greedy and reluctant schemes tend to favor ISs of markedly different densities. The resulting ISs nevertheless robustly exhibit a universal force distribution, thus confirming the geometric nature of the jamming universality class. Along the way, the physical origin of a dynamical Gardner transition is identified.

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Publication Details

Journal
Proceedings of the National Academy of Sciences
Published
2025-11-05
DOI
https://doi.org/10.1073/pnas.2422096122
Citations
2
Primary Topic
Theoretical and Computational Physics
Type
article
Field-Weighted Citation Impact
2.52
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article

The geometry of jamming algorithms in the random Lorentz gas

Giampaolo Folena, Patrick Charbonneau, Federico Ricci‐Tersenghi, Peter K. Morse et al.
2 citations
Proceedings of the National Academy of Sciences
Theoretical and Computational Physics
2.52
article

The geometry of jamming algorithms in the random Lorentz gas

Giampaolo Folena, Patrick Charbonneau, Federico Ricci‐Tersenghi, Peter K. Morse, Rafael Díaz Hernández Rojas
article en
2 citations

Abstract

Deterministic optimization algorithms unequivocally partition a complex energy landscape into inherent structures (ISs) and their respective basins of attraction. Can these basins be defined solely through geometric principles? This question is paramount to understanding hard sphere jamming, a key model of disordered matter. We here address the issue by proposing a geometric class of gradient descent-like algorithms, which we use to study a system in the hard-sphere universality class, the random Lorentz gas. The statistics of the resulting ISs is found to be strictly inherited from those of Poisson-Voronoi tessellations. The landscape roughness is further found to give rise to a hierarchical organization of ISs, which various algorithms explore differently. In particular, greedy and reluctant schemes tend to favor ISs of markedly different densities. The resulting ISs nevertheless robustly exhibit a universal force distribution, thus confirming the geometric nature of the jamming universality class. Along the way, the physical origin of a dynamical Gardner transition is identified.

Proceedings of the National Academy of SciencesVol. 122(45)
Seton Hall University (US), Istituto Nazionale di Fisica Nucleare (IT), Duke University (US), Istituto Nazionale di Fisica Nucleare, Sezione di Roma Tre (IT), Istituto di Nanotecnologia (IT), Istituto di Fotonica e Nanotecnologie (IT), University of Göttingen (DE), Sapienza University of Rome (IT)
Openalex Percentile: Top 10%
Theoretical and Computational Physics
2.52
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The geometry of jamming algorithms in the random Lorentz gas — Giampaolo Folena, Patrick Charbonneau, et al. · Proceedings of the National Academy of Sciences (2025) | TGRS Research Map | TGRS