1592 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 a universal statistical framework for nonequilibrium pattern-forming systems with inherent length-scale selection, demonstrating through theory, simulations, and Faraday wave experiments that their dynamics can be effectively described by monochromatic random fields confined near a mean energy hypersurface.
This paper presents a method to derive the exact elastic continuum model for any discrete spring network based solely on its geometry and topology, enabling the prediction of mechanical properties—including non-affine displacements and auxetic behavior—without the need for computationally expensive simulations.
This paper reports the numerical observation of a universal far-from-equilibrium equation of state in the Gross-Pitaevskii model, demonstrating that in a regime of mixed turbulence, the momentum distribution amplitude scales with the energy flux to the power of approximately 0.67, a finding that extends the concept of quasi-static thermodynamic processes to non-equilibrium steady states.
This paper investigates the precise decay rate of the probability of non-zero overlap between two particles in high-temperature branching Brownian motion, revealing that the transition between two sub-phases occurs at different inverse temperature thresholds depending on whether the analysis is conditioned on the branching process or performed unconditionally.
This paper demonstrates that self-propelled agents repelled by their own chemical trails optimize collective search efficiency through distinct weak- and strong-memory regimes, where optimal performance arises from balancing spatial separation, self-avoidance, and cooperative speedup without requiring global spatial order.
This paper employs a statistical mapping of neutral atom CSS codes to a disordered lattice gauge theory to predict error rate thresholds and establish experimental constraints for quantum devices subject to radiative decay, leakage, and atom loss.
This paper proposes two distinct crosscap states for the 2D Ising field theory related by Kramers-Wannier duality, derives their Majorana and bosonized representations to compute correlation functions, and utilizes conformal perturbation theory to demonstrate the monotonicity of Klein bottle entropy under relevant perturbations, thereby establishing a general framework for studying perturbed 2D conformal field theories on non-orientable manifolds.
This paper proposes a universal criterion for identifying multifractal critical states in disordered quantum systems by demonstrating that they uniquely exhibit dual-space invariance between position and momentum, a property revealed through matching scaling behaviors of the inverse participation ratio that distinguishes them from extended and localized states.
This paper investigates the physics of two and three mutually intersecting conformal defects in general dimensions, deriving beta functions for edge interactions, analyzing the angle-dependent edge anomalous dimension, and computing the corner anomalous dimension for trihedral corners and three-line configurations as higher-dimensional analogs of the cusp anomalous dimension.
This paper proposes a universal reweight-annealing scheme that resolves the general measurement problem in Quantum Monte Carlo simulations by expressing target observables as ratios of partition functions, thereby enabling the calculation of diverse correlations and disorder operators across various quantum models and dimensions while offering broader applications in statistical data analysis.