2392 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 establishes that under sustained overload, self-referential information decoders undergo a first-order recoverability collapse characterized by bistability, hysteresis, and irreversible entropy production, where increased throughput without certification accelerates failure and simple load reduction cannot restore operation.
This paper demonstrates that the spatial statistics of both elementary and composite topological defects formed during the nonequilibrium condensation of coherently coupled Bose gases exhibit a universal stochastic geometry described by a Poisson point process and Voronoi tessellation, extending beyond the conventional defect density predictions of the Kibble-Zurek mechanism.
This paper investigates the zeros of independent and identically distributed Gaussian Laurent series on an annulus, demonstrating that their zero point process forms a permanental-determinantal point process characterized by weighted Szegő kernels and exhibiting specific symmetries and interpolation properties in the limit as the annulus shrinks to the unit disk.
This paper proposes a resource-efficient and ultrafast quantum error correction scheme that implements Shor's nine-qubit code using only three particles on nested squares via a multi-particle discrete-time quantum walk, while also demonstrating resilience against a unified correctable noise model.
This paper demonstrates that information-theoretic measures, specifically mutual information and its variants, can effectively identify driving nodes and reconstruct directional dependencies in a system of two hydrodynamically coupled colloidal particles driven by correlated noise, thereby elucidating counterintuitive trends in irreversibility and providing a framework for analyzing nonequilibrium dynamics in complex systems.
This paper develops a theoretical framework for quantum work statistics in continuously monitored systems under the no-click limit, deriving a work generating function that incorporates non-Hermitian dynamics and reveals how measurement-induced asymmetries and the quantum Zeno effect modify the standard Jarzynski equality and work distribution moments.
This paper introduces a non-Hermitian -ensemble defined by tridiagonal complex random matrices, derives its large- and large- logarithmic spectral density on a compact disc using free probability and characteristic polynomial analysis, and confirms via numerical simulations that its local eigenvalue statistics follow two-dimensional Poisson behavior independent of , distinguishing it from previously studied ensembles.
This paper introduces an exactly solvable model of highly entangled quantum spin chains arranged on a Fermat's spiral geometry, demonstrating a novel mechanism for violating the entanglement area law in two-dimensional systems with local interactions while exhibiting distinct entanglement phase transitions and spectral gap scaling compared to previous coupled-chain paradigms.
This paper demonstrates that the thermodynamic limit can break down in quantum spin and dimer models by constructing Hamiltonians on square and square-octagon lattices where the ground state phases on diamond-shaped domains differ fundamentally from those on square domains, exhibiting geometry-dependent macroscopic regions with distinct ordering and correlation behaviors.
This paper proposes a method to obstruct symmetry enhancement in numerical conformal bootstrap calculations by identifying and imposing spectral gaps on redundant operators, a mechanism successfully applied to distinguish the cubic model from the model in three dimensions.