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 proposes a universal framework explaining quadrupolar order in magneto-electric materials as a composite phase emerging from a parent state driven by thermal fluctuations and symmetry, offering a predictive approach for transition temperatures and strain coupling without requiring explicit microscopic details.
This paper develops a perturbative framework based on the Fokker-Planck equation to derive an explicit analytical expression for the mean-squared displacement of active Brownian particles with finite rotational inertia, a result that is validated through numerical simulations.
This paper demonstrates that Boltzmann Generators can effectively sample the liquid-gas critical point of a Lennard-Jones fluid and capture critical signatures, though their current utility is constrained by small system sizes that suppress large-scale fluctuations.
This paper demonstrates that a graph neural network trained on the Strong Disorder Renormalization Group (SDRG) method can accurately infer the entanglement structure and pairing hierarchy of disordered long-range interacting quantum spin chains, achieving quantitative agreement with SDRG predictions across various interaction exponents and temperatures without retraining.
This paper validates the Relevance-Resolution framework as a robust unsupervised method for identifying optimal low-resolution representations of high-dimensional data, demonstrating that its information-theoretic criteria consistently align with ground-truth Kullback-Leibler divergence minimization across diverse synthetic and physical datasets.
This paper reformulates the concept of neutral wealth taxation as a drift-shift symmetry in stochastic wealth dynamics, demonstrating that while a proportional tax preserves the underlying statistical structure of wealth distribution, practical implementation failures correspond to specific violations of this symmetry that introduce new, non-neutral physical effects.
This paper establishes that the extreme value statistics of non-stationary, recurrent systems governed by infinite ergodic theory and an infinite invariant density are determined by the return exponent and the infinite measure, leading to a distinct universality class that deviates from the classical Fréchet, Gumbel, and Weibull distributions.
This paper numerically demonstrates that weak measurements on the ground state of a one-dimensional spin system near a deconfined quantum critical point induce an asymmetric restructuring of entanglement across the phase boundary, suggesting the emergence of a weak first-order phase transition in the thermodynamic limit.
This paper analytically and numerically investigates a lattice Lorentz gas on a cylinder, demonstrating how crowding and quasi-confinement induce a dimensional crossover from two to one dimensions in equilibrium and characterizing the resulting stationary velocity and diffusion under an external pulling force to first order in obstacle density.
This paper investigates a generalized two-species Vicsek model with reciprocal intra- and interspecies alignment couplings, revealing that anti-aligning interactions can surprisingly promote global polar order and novel microphase separation, a mechanism that extends to multi-species systems with cyclic interactions.