1536 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 heavy local quenches within two-dimensional holographic conformal field theories, the time evolution of genuine tripartite entanglement is kinematically fixed by global saddle selection and winding mismatches in the bulk geometry, rather than by local energy responses or quasiparticle propagation.
Using an exact solution of the Ising model on a decorated square lattice with arbitrary decorating spins, the authors demonstrate that competing exchange interactions can induce complex magnetic reentrancy, enabling systems to exhibit one, three, or even five magnetic phase transitions under specific parameter conditions.
This paper demonstrates that proofreading can simultaneously enhance both speed and accuracy in stochastic processes with long-lived stalled states, provided that the fluctuations in stall durations exceed a specific threshold determined by the system's intrinsic error rate.
This paper rigorously proves the existence of long-range order in the chirally charged fermion-mass bilinear for a class of two-dimensional Euclidean lattice Gross-Neveu models with even flavor numbers by utilizing reflection positivity, chessboard estimates, and Peierls-type arguments to establish a non-perturbative connection between the lattice theory and large- mean-field predictions across various discretizations.
This paper investigates interference patterns of critical dynamics associated with zero modes (ICDZM) in generalized Creutz ladders, demonstrating how closed quench paths through critical points generate distinct oscillations and period doubling that can be detected via boundary particle number deviations and serve as probes for topological zero-mode dynamics.
This paper investigates the stochastic population dynamics of surface-mediated autocatalytic processes where particles diffuse and undergo competing replication or death events, providing a systematic theoretical analysis of the population's statistical properties across vanishing, steady-state, and exponential growth regimes supported by numerical solutions and Monte Carlo simulations.
This paper investigates a three-terminal thermoelectric engine driven by an autonomous Maxwell demon to identify two distinct quantum-to-classical transitions—one controlled by interdot tunneling and another by phonon-induced decoherence—revealing how quantum coherence can enhance information flow and engine performance in specific regimes.
This paper establishes a unified thermodynamic framework for nonsecular master equations by incorporating system-bath interaction energy and Lamb shifts into the energy balance, demonstrating that while these approximations lead to non-Gibbs steady states and distinct entropy production rates compared to the Spohn inequality, no work can be cyclically extracted from the steady state in a single thermal bath scenario.
This paper demonstrates that in U(1)-symmetric one-dimensional random circuits and energy-conserving nonintegrable Ising chains, the generation of nonstabilizerness follows a diffusive universality class where the stabilizer Rényi entropy gap closes as at late times, a result derived using -adapted iTEBD and hydrodynamic arguments.
This paper introduces CAVIAR, an electron ptychography framework that achieves sub-Angstrom resolution to reveal spatial correlations in atomic vibrations and accurately determine phonon frequencies from nanoscale volumes, offering a unique tool for studying atom dynamics and developing phonon-based technologies.