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 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 reveals spatial correlations in atomic displacements at sub-Angstrom resolution, enabling the measurement of phonon frequencies from nanoscale volumes with implications for phononic devices and quantum systems.
This paper investigates the stability of the two-dimensional toric code under coherent noise using a doubled-Hilbert-space formalism, establishing a connection to non-Hermitian statistical mechanics to reveal remarkable topological order stability near the Y-axis and identifying phase boundaries that define the intrinsic error thresholds for quantum error correction.
This paper resolves the challenge of negative probabilities in quantum mechanics by introducing an exact representation of quantum spin chain dynamics as classical continuous-time Markov chains that model the creation, annihilation, and propagation of particle-antiparticle pairs, with quantum behavior emerging from the statistical average of these classical processes.
This paper demonstrates that mixed-state subsystem symmetry-protected topological order in cluster states remains robust up to maximal decoherence rates when noise respects strong subsystem symmetry, and proposes "spurious topological entanglement negativity" as a constant correction to area-law scaling for detecting this order while highlighting the non-invariance of standard topological entanglement negativity under finite-depth quantum channels.
This paper introduces spectral decimation as a systematic and computationally efficient diagnostic tool that quantifies emergent symmetries in quantum many-body systems by identifying characteristic symmetry sectors, thereby distinguishing between chaotic dynamics, statistical mixtures, and emergent integrability in fragmented and many-body localized systems.