1581 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 utilizes Doi-Peliti field theory to calculate the state-dependent visit probability for Run-and-Tumble particles in one dimension, introducing a "polar deposition" framework that tracks the internal propulsion state of a particle as it first passes through a point to characterize extreme value statistics and the total volume covered.
This paper utilizes the Bethe ansatz to determine the dynamical spectra of the one-dimensional supersymmetric t-J model, revealing how fractionalized spin and charge excitations, bound states encoded in Bethe strings, and distinct collective excitation boundaries manifest in single-electron Green functions across various magnetization and filling regimes.
This paper establishes that quasistatic work in driven, dissipative open quantum systems is governed by an emergent geometric curvature arising from steady-state coherence, thereby extending the geometric formulation of thermodynamics to non-equilibrium quantum steady states.
By integrating liquid state theory with deep learning, this paper establishes "dielectrocapillarity" as a rigorous first-principles framework demonstrating how electric field gradients enable exquisite, tunable control over the phase transitions, capillary condensation, and adsorption of polar fluids in confined nanoporous environments.
This paper demonstrates that in the zero-temperature random field Blume-Emery-Griffiths model, the violation of the no-passing property combined with frustration induces a distinct discontinuity in the distribution of field increments between avalanches, serving as a robust diagnostic signature for frustration-induced blocking in non-abelian avalanche dynamics.
This paper proposes a method to map bilayer Hamiltonians with specific symmetries to monitored open monolayer systems, enabling efficient simulation of low-energy states via quantum trajectories that effectively halve the system size and provide a physical interpretation of the sign-free criteria in auxiliary field quantum Monte Carlo.
This paper investigates the first-passage properties of a jump process with constant drift and arbitrary light-tailed distributions, identifying three distinct regimes (survival, absorption, and critical) and deriving explicit expressions for exponential decay rates, algebraic decay, and asymptotic behaviors of mean first-passage times and variances.
This paper establishes a general framework for the exact level 2.5 large deviation statistics of non-Markovian self-interacting jump processes by exploiting timescale separation, thereby enabling the derivation of generalized thermodynamic and kinetic uncertainty relations for trajectory observables in such systems.
This paper establishes a geometric framework for quasistatic thermodynamics in open quantum systems, demonstrating that thermodynamic work corresponds to the flux of a curvature two-form on a control manifold, where quantum coherence induces anisotropy and sign changes in this curvature, enabling geometric cancellation or reversal of work through the misalignment between the Hamiltonian and environment-selected pointer bases.
This paper establishes a unified geometric framework for thermodynamic cycles by demonstrating that work and heat area laws arise from a single canonical two-form, thereby linking local cycle geometry to thermodynamic response via mixed curvature and extending these principles to nonequilibrium stochastic trajectories.