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 introduces a simplified Lattice Field Theory framework that extends Maximum Entropy models to incorporate time evolution, offering a physically grounded interpretation of chronic multi-site BCI recordings and single-neuron spike rasters as a variant of the Free Energy principle.
This paper presents direct numerical simulations of fluctuating Navier-Stokes equations that provide decisive quantitative validation for the Lutsko-Dufty theory of nonequilibrium long-range correlations and the Forster-Nelson-Stephen dynamic renormalization group theory of anomalous transport, demonstrating their accuracy across regimes from viscous-dominated to strongly nonlinear shear flows.
This paper proposes and validates an exact formula for three-point functions in critical loop models by unifying conformal field theory, lattice transfer-matrix methods, and probabilistic approaches based on conformal loop ensembles and Liouville quantum gravity.
This paper investigates symmetry-resolved Krylov complexity in the Uncoloured Tensor Model, establishing conditions under which charge subspaces mirror the full-space complexity and demonstrating that the averaged complexity within symmetry subspaces is bounded by that of the full operator.
This paper predicts and verifies the existence of Quantum Many-Body Scars in spin-1 Quantum Link Models by demonstrating an approximate spectrum-generating algebra in a dualized constrained spin chain, thereby providing diagnostic observables to guide quantum simulations of non-equilibrium gauge theories.
This paper introduces a minimal model of interacting populations with coupled spatial and internal-state coordinates, demonstrating that density-dependent mobility in internal-state coordinates alone can drive a transition from arrested aggregates to boundary-led peeling and migration, thereby offering a unified framework for understanding collective spatial reorganization in biological systems.
This study reveals that passive particles immersed in a chiral active bath can spontaneously form rotating clusters within a specific regime of size ratio and packing fraction, driven by a coherent net torque and structural order, while chirality heterogeneity disrupts this emergent rotational coherence.
This paper analyzes bosonic bound states in systems strongly coupled to gapped reservoirs by demonstrating that an exactly solvable model's results can be reproduced via a weak-coupling treatment of a supersystem with parallel reaction coordinates, revealing that while weak interactions induce finite lifetimes, increasing the system-reservoir coupling can enhance stability.
This paper identifies and corrects significant errors in the novel method proposed by Brückner et al. for inferring the dynamics of underdamped stochastic systems in the presence of measurement noise.
This paper establishes the Random Energy Model (REM) universality for a sequence of linear random Hamiltonians by demonstrating that, as the system size grows, the energy levels of an exponentially large number of randomly sampled configurations converge to a Poisson point process with exponential intensity, thereby characterizing fluctuations and improving upon previous results on REM universality by dilution.