1572 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 employs a Green's function approach to analyze inertial active chains, deriving analytic expressions for mean-squared displacement and velocity changes that reveal complex crossover regimes and non-Gaussian fluctuations, thereby linking multiparticle interactions to experimentally accessible signatures of inertia in active matter.
This paper investigates how slow, time-dependent perturbations in nonequilibrium Markov jump processes generate geometric Berry phases and curvatures that quantify excess observables, revealing a breakdown of classical thermodynamic relations like Maxwell's equations and the Clausius theorem, while also demonstrating a variant of the Aharonov-Bohm effect and establishing conditions under which these geometric effects vanish at absolute zero.
This paper applies stochastic thermodynamics to Dense Associative Memory networks, using dynamical mean field theory to characterize the work costs, failure modes, and tradeoffs between entropy production, retrieval accuracy, and operation speed when driving these systems out of equilibrium.
This paper introduces efficient, numerically exact algorithms based on the fast Hadamard transform to compute stabilizer Rényi entropy and mana for quantum states, offering an exponential improvement in computational complexity over naive methods and providing a high-performance, open-source Julia package (HadaMAG) to enable large-scale studies of quantum magic.
This paper provides a unified pedagogical treatment of the first-passage problem for a Poisson counting process with a linear moving boundary by reconciling time-domain and Laplace-domain approaches to derive new exact analytical results, including an explicit large deviation function and closed-form expressions for the conditional mean first-passage time.
This paper establishes a rigorous resource-theoretic framework for strong symmetry breaking that corrects the limitations of existing quantifiers like second-Rényi entanglement asymmetry, identifies the variance of conserved quantities as the key metric for U(1) symmetry, and provides a quantitative tool to track the irreversible conversion of weak to strong symmetry breaking in open quantum systems.
This paper demonstrates that non-reciprocally coupling two copies of Ising gauge theory while preserving local symmetry induces a rich interplay with geometric frustration, resulting in unique phenomena such as tunable quasiparticle confinement, self-avoiding trail dynamics on critical percolation clusters, and long-lived metastable states that significantly alter the magnetic noise spectrum.
This paper demonstrates that thermal fluctuations, specifically shot noise for individual channels and Johnson-Nyquist noise for collective ensembles, impose fundamental physical limits on the voltage-sensing accuracy and information capacity of neuronal ion channels.
Using molecular simulations, this paper demonstrates that the temperature and system-size dependence of dynamical heterogeneity in supercooled liquids can be explained by a zero-temperature avalanche criticality framework.
Through molecular dynamics simulations, this study proposes that the complex slow dynamics and spatial heterogeneity of supercooled liquids can be unified under a zero-temperature avalanche criticality framework governed by the potential energy landscape, thereby explaining previously unexplained phenomena near the mode-coupling transition.