Mean-field density of states of a small-world model and a jammed soft spheres model
Mario Pernici (Istituto Nazionale di Fisica Nucleare, Sezione di, Milano)

TL;DR
This paper studies the vibrational density of states in small-world and jammed sphere models using random matrix theory, revealing how network structure and sphere repulsion influence vibrational spectra.
Contribution
It introduces a mean-field approach to analyze the density of states in small-world and jammed sphere models, connecting network topology with vibrational properties.
Findings
The DOS converges to the shifted Kesten-McKay distribution as small-world randomness vanishes.
Sphere repulsion cutoff parameter affects the DOS, approaching the Marchenko-Pastur distribution.
The boson peak frequency in 3D models aligns with molecular dynamics simulations.
Abstract
We consider a class of random block matrix models in dimensions, , motivated by the study of the vibrational density of states (DOS) of soft spheres near the isostatic point. The contact networks of average degree are represented by random -regular graphs (only the circle graph in with ) to which Erd\"os-Renyi graphs having a small average degree are superimposed. In the case , for small the shifted Kesten-McKay DOS with parameter is a mean-field solution for the DOS. Numerical simulations in the model, which is the Newman-Watts small-world model, and in the model lead us to conjecture that for the cumulative function of the DOS converges uniformly to that of the shifted Kesten-McKay DOS, in an interval , with . For $2 \le d \le…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMaterial Dynamics and Properties · Theoretical and Computational Physics · Advanced Thermodynamics and Statistical Mechanics
