2407 papers
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.
This paper introduces probability-phase mutual information, , as a novel metric that characterizes quantum coherence at the ensemble level by quantifying the structural information lost during averaging, thereby revealing temperature-dependent correlations, conversion bounds, and deep thermalization breakdowns that standard density-matrix measures cannot detect.
This paper presents an exact solution for the entanglement entropy dynamics following a quench from a thermal pure quantum state in a free fermion system, revealing a characteristic double-plateau structure that contrasts with typical linear growth and saturation, as confirmed through 2D conformal field theory on the Klein bottle, matrix Riccati equation numerics, and a quasiparticle picture.
This paper presents numerical evidence of long-lived, quasi-periodic energy recurrence among low-frequency modes in weakly damped, periodically driven alpha-FPUT chains, identifying a new form of coherent nonlinear dynamics that persists only in finite systems before vanishing in the thermodynamic limit.
Using large-scale Monte Carlo simulations of the O(n) loop model to overcome critical slowing down, this study computes universal three-point amplitude ratios for the backbone and FK clusters in the two-dimensional Potts model, revealing that the backbone's correlations are systematically larger than those of the full FK clusters in the critical regime but coincide with them along the tricritical branch, indicating shared geometric universality at tricriticality.
This paper introduces a minimal-control protocol that generates unitary -designs by evolving a system under a random Hamiltonian and performing a single quench to an independent Hamiltonian after the Thouless time, thereby breaking residual spectral correlations to achieve Haar-like randomness with significantly fewer operations than existing methods.
This paper proposes "Cosmological Teleodynamics," a game-theoretic statistical framework that reinterprets dark energy, dark matter, and cosmological tensions as emergent phenomena arising from the Universe's intrinsic nonlocal memory and systemic organization, thereby offering a unified, particle-free alternative to the standard dark sector.
This paper investigates the collective fluctuations of an ensemble of independent scaled Brownian particles subject to renewal resetting, revealing that the system radius follows Gumbel statistics while the center of mass exhibits anomalous large deviations driven by a "big jump" effect for .
This paper investigates the long-time speed fluctuations and large deviations of a stochastic Huxley-Zel'dovich reaction-diffusion front, confirming that shot noise induces a scaling for both the systematic speed shift and diffusion coefficient while revealing anomalous transient behavior in the leading particles.
This paper proposes a Hadamard regularization-based separation-of-scales ansatz within the Schwinger-Keldysh formalism to develop a computationally efficient time-stepping algorithm for the Kadanoff-Baym equations, enabling the simulation of damped quantum harmonic oscillators in unstructured environments while capturing non-Markovian and renormalization effects without prohibitive cubic scaling.
This paper investigates how a forager's survival time is extended by partial food consumption governed by an energy threshold , revealing that while lifetime generally increases with the ratio , the scaling exponent of survival time and the behavior of food statistics undergo distinct transitions, including a critical threshold at and a crossover at .