2358 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 study demonstrates that in noisy, realistic feedback-controlled systems, trajectory-based information thermodynamic bounds deteriorate rapidly, causing a crossover where Markovian mutual-information bounds become tighter and more robust than those relying on detailed trajectory statistics.
This paper derives a mean-field theory for chiral active Model B, demonstrating how microscopic rotational bias induces tangential interface currents that lead to anisotropic domain coarsening, arrested coarsening, and chiral fingering instabilities.
This paper demonstrates that while non-interacting Aubry-Andr{é} models exhibit brown-noise-like spectral fluctuations regardless of the phase, introducing interactions causes a distinct shift to pink noise in the metallic phase, thereby establishing interaction-driven noise color as a reliable indicator of the metal-insulator transition.
This paper introduces a theoretical model of dimeric transport motors as pure information engines that achieve directed motion through position-dependent switching of head mobilities, successfully reproducing experimental velocity behaviors, stall forces, and non-Markovian dwell-time distributions via information transduction akin to a Maxwell demon.
This paper derives the non-relativistic limit of Gaussian covariant hydrodynamics to develop renormalization group equations that incorporate spontaneous stochasticity and anomalous dissipation as macroscopic back-reactions to microscopic fluctuations, thereby bridging the gap between fluid dynamics and statistical mechanics while offering new perspectives on turbulence and mathematical regularity.
This paper demonstrates that a non-reciprocal harmonic interaction between two overdamped monomers in an isotropic potential is sufficient to drive a Brownian dimer out of equilibrium, enabling the exact calculation of its steady-state distribution and current in the zero-rest-length limit.
This paper introduces a path-ensemble theory that, calibrated from a single equilibrium simulation, accurately predicts nonequilibrium mass distributions and transport properties in hard-core gases subjected to temperature gradients by modeling coupled thermal and diffusive transport as dynamics on a graph.
This paper reviews existing protocols for spin-based quantum batteries, establishes a theoretical connection between continuous and Floquet driving for charging many-body spin chains, and surveys experimental realizations to highlight their scalability in near-term quantum technologies.
This paper demonstrates that the Mpemba effect, where systems farther from equilibrium relax faster, occurs in a six-state chemomechanical model of the Kinesin molecular motor under both equilibrium and non-equilibrium conditions, with the motor's velocity serving as an experimentally accessible signature of this anomalous relaxation.
This paper develops a scaling theory for Dicke superradiance that identifies fully collective, partially collective, and independent-emitter regimes, demonstrating how local decoherence can suppress the characteristic intensity scaling and defining a continuous phase transition in a transient observable.