Statistical mechanics explores how the chaotic motion of countless tiny particles gives rise to the predictable laws governing heat, pressure, and phase transitions. This field bridges the gap between the microscopic world of atoms and the macroscopic reality we experience daily, offering deep insights into why materials behave the way they do.

On Gist.Science, we process every new preprint in this category as it appears on arXiv to make these complex findings accessible to everyone. For each paper, we provide both a plain-language explanation for the curious reader and a detailed technical summary for specialists, ensuring that groundbreaking research is never lost behind a wall of jargon.

Below are the latest papers in statistical mechanics, freshly curated and summarized to help you understand the cutting edge of this fascinating discipline.

Modeling an internal structure of a black hole using a thermodynamic quasi-particle model

This paper proposes an effective thermodynamic model for a black hole's interior composed of scalar quasiparticles, distinguishing between a dense core governed by a potential-energy functional and an inverse-temperature-like parameter, and a surrounding crust with finite kinetic temperature, to provide a unified framework for exploring singularity resolution and the thermodynamic origins of negative pressure and energy density.

Sergey Bondarenko, Dima Cheskis, Raghvendra Singh2026-04-30⚛️ gr-qc

Diffusion with conserved marginal distributions and information theory in fracton hydrodynamics

This paper demonstrates that subsystem symmetries in fracton hydrodynamics generically lead to nonlinear diffusion equations with shear-only transport, where conserved marginal distributions preserve initial localization and provide an information-theoretic framework in which total correlation decays monotonically despite non-monotonic pairwise mutual information.

Vaibhav Mohanty, Sunghan Ro2026-04-30🔬 cond-mat