1537 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 an information-geometric signature for detecting nonconservative driving by identifying a "relaxation gap" between the acceleration of the Kullback-Leibler divergence and twice the Fisher information, which serves as a lower bound for the steady-state entropy production rate in both Markov jump and Fokker-Planck systems.
This paper establishes a rigorous Berry-Esseen bound for local observables in large quantum lattice systems with finite correlation lengths, proving that their statistical fluctuations converge to a normal distribution with an optimal error scaling of for finite system sizes.
This paper establishes that city-scale traffic congestion undergoes a reproducible thermodynamic phase transition analogous to order-disorder systems, introducing an effective temperature metric to quantify urban resilience and revealing that the macroscopic fundamental diagram is merely a projection of a more complex free-energy landscape.
This paper employs Landau singularity analysis within the Schwinger-Keldysh effective field theory framework to systematically identify frequency-space singularities induced by nonlinear interactions, thereby determining the power-law late-time relaxation modes of gapless fluctuations without explicitly performing loop integrations.
This study experimentally validates hydrodynamic predictions of nearly dissipationless transport in a one-dimensional ultracold bosonic gas by measuring Drude weights through two distinct current-inducing protocols, confirming that integrability governs large-scale dynamics via ballistically propagating quasi-particles.
This paper investigates how molecular motor-driven active transport enhances the efficacy of molecular communication in one-dimensional channels compared to passive diffusion, specifically analyzing scenarios involving relay-based transport and mixtures of active and diffusing particles.
This article proposes a non-stochastic hybrid theory combining Bohmian mechanics and objective collapse, wherein mutual guidance between particles and wavefunctions leads to an emergent wavefunction collapse through ergodicity loss when spatially separated lobes trap the particle, thereby restoring the Born rule and challenging the feasibility of large-scale quantum computers.
This study uses Monte Carlo simulations to demonstrate that -state active Potts models on square and hexagonal lattices exhibit domain coarsening following the Lifshitz--Allen--Cahn law () with transiently enhanced growth rates that depend on the wave pattern (disordered vs. spiral) and state number , ultimately saturating at characteristic wavelengths while remaining robust to lattice geometry and update schemes.
This paper derives closed dynamical equations linking the area and perimeter of planar domain-wall loops to predict their geometric evolution, demonstrating that spontaneous magnetization relaxation and driven interface interactions exhibit quantized behaviors characterized by discrete jumps during loop collapse and coalescence events.
This paper introduces a mesoscopic partition function based on combined spatial and phase-space coarse-graining that recovers the standard canonical limit and establishes a unified framework linking the factorization of this function to the extensivity of free energy, with deviations quantified by inter-cell correlations and mutual information.