2446 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 applies the connected ensemble framework to the symmetric binary perceptron model to demonstrate that the existence of a connected manifold of low-loss minima below a critical constraint density defines a phase where training is efficient and local algorithms can successfully navigate the rugged loss landscape.
This paper develops a dynamical density functional theory for dense interacting odd-diffusive fluids, demonstrating that odd diffusion generates unique transient circulating currents and accelerates relaxation to equilibrium in both bulk and confined geometries, with results that are quantitatively validated by Brownian dynamics simulations.
This paper demonstrates that topological frustrated quantum spin chains exhibit a unique, non-local form of non-stabilizerness ("magic") arising from -state-like correlations, which scales logarithmically with system size and distinguishes these frustrated systems from non-frustrated ones like those with GHZ states.
This paper introduces a universal, black-box quantum Monte Carlo framework that utilizes exact, closed-form estimators for energy and fidelity susceptibilities to detect quantum phase transitions across arbitrary Hamiltonians without requiring prior knowledge of order parameters or model-specific update rules.
This paper presents a formal framework within the permutation matrix representation of quantum Monte Carlo simulations to derive exact estimators for arbitrary static observables and general imaginary-time correlation functions, demonstrating its practical utility through applications to the transverse-field Ising model.
Through molecular dynamics simulations of 2D ball-stick polygon systems, this study reveals that the kinetic pathways of isostructural solid-solid phase transitions are shape-determined, where the anisotropy of pentagons, hexagons, and octagons dictates distinct rotational defect patterns and coupling modes between translational and rotational motions that govern the transition rates.
This paper utilizes a fermionic formulation and contour-integral approach to derive an exact analytical formula demonstrating that finite-size corrections to the crosscap overlap in the two-dimensional Ising model decay exponentially, with the decay constant determined by the complex singularity structure of the Bogoliubov angle.
This study reveals that translational and rotational inertia in underdamped active dumbbells generate four distinct kinetic temperatures across coexisting phases, causing the dilute gas-like phase to consistently exhibit higher translational and rotational temperatures than the dense liquid-like phase due to the interplay between activity-driven collisions and inertial effects.
This paper constructs a quantum Schwinger-Keldysh effective field theory for diffusive hydrodynamics that enforces fluctuation-dissipation relations via KMS symmetry to reveal intrinsically non-Gaussian noise, ultimately deriving quantum corrections to density-density correlation functions that generalize hydrodynamic long-time tails to all orders in .
This paper presents an analytical method based on a geometric series expansion of collision displacements to accurately predict the mean-square displacement of a tracer particle in a cooling granular gas, demonstrating that this simple approach outperforms the first-Sonine approximation and achieves accuracy comparable to the second-Sonine approximation across a wide range of physical parameters.