1835 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 demonstrates that in physical networks, the interplay between node connectivity and volume creates a degree-volume ratio that acts as a critical disorder parameter, fundamentally reshaping the Laplacian spectrum and driving the localization of diffusion dynamics in ways distinct from purely topological predictions.
This paper demonstrates that nuclear quantum effects can be rigorously captured by composing a denoiser trained solely on classical statistics with an analytic Gaussian component, enabling the exact generation of quantum Boltzmann distributions across varying temperatures, masses, and boundary conditions without retraining.
This paper utilizes renormalization group topology analysis to demonstrate that the charge-Kondo-breakdown scenario in cuprates lacks a stable interacting quantum critical fixed point, revealing instead that the observed extended scaling behavior arises from a marginally relevant instability driving a runaway flow characteristic of a weakly first-order transition.
This study reveals that in viscoelastic Jeffreys fluids, back-and-forth beating of active oscillators transiently aligns driving and polymeric forces to significantly enhance beating frequency once fluid memory matches stroke duration, whereas unidirectional rotational motion experiences a slowdown under the same conditions.
This paper derives a closed evolution equation for the -particle distribution function from the Liouville equation without using the "molecular chaos" approximation by employing a projection operator to account for initial correlations, ultimately showing that these correlations vanish at large timescales to recover the linear and nonlinear Boltzmann equations.
This paper numerically investigates random walks in a Dirichlet random environment across dimensions $d=1, 2, and 3$, verifying KPZ-like growth in lower dimensions, confirming a phase transition in , and establishing exact relationships between sample-to-sample variances and extreme diffusion coefficients.
This paper analyzes a game-theoretic Ising model where agents simultaneously flip their states at each time step, deriving an explicit transition matrix to demonstrate that the decay time of metastable configurations exhibits a nontrivial minimum at a specific due to the competition between -dependent diffusion and restoring forces.
This paper derives the effective Hamiltonian for open quantum systems with varying particle number from first principles, establishing a rigorous physico-mathematical model that proves the Hamiltonian's uniqueness, validates the surface-to-volume ratio approximation, and demonstrates that the system's Hilbert space must be isomorphic to Fock space.
This paper introduces an analytical Fourier–Walsh projection scheme based on minimal replica theory to estimate error thresholds for surface codes and other stabilizer codes, successfully mapping disorder-free critical points to Nishimori critical points with high accuracy and revealing a connection to the Gilbert–Varshamov bound.
This paper employs a non-perturbative field-theory approach to map the finite-temperature phase diagram of the chiral Ising Gross-Neveu-Yukawa model, demonstrating emergent relativistic symmetry at the zero-temperature quantum critical point, a classical two-dimensional Ising transition at finite temperature, and characterizing the scaling properties of the resulting quantum critical fan.