1572 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 a discrete-time quantum walk where a detector is periodically removed and randomly relocated, revealing that while both unrestricted (Model 1) and restricted (Model 2) relocation schemes mimic a semi-infinite walk for long intervals, they exhibit distinct spreading behaviors and quantum-enhanced occupation probability ratios in the rapid-relocation regime.
This paper challenges the non-interacting paradigm of the phonon thermal Hall effect by proposing that magnetic-field-modulated phonon-phonon interactions generate a transverse thermal resistivity, a mechanism that successfully explains experimental data across seven crystalline insulators.
This paper extends the Kuramoto-Sakaguchi model to general Riemannian manifolds to demonstrate that while geometry determines the critical coupling for synchronization, topology (specifically the Euler characteristic) fundamentally constrains the nature of the phase transition, permitting continuous or tricritical transitions only on manifolds with zero Euler characteristic.
This paper investigates the disorder-free Sachdev-Ye-Kitaev (SYK) model and finds that, unlike the Fréchet distributions observed in the Lieb-Liniger model, the off-diagonal matrix elements of operators composed of four or more Majorana fermions are well-described by a generalized inverse Gaussian distribution.
This study reveals that cohesive interactions in jammed granular materials violate marginal stability, generating excess rigidity and causing pronounced hysteresis in the shear modulus during compression and decompression cycles, even when the underlying interparticle forces are history-independent.
This paper demonstrates that while a two-step quenched temporal ensemble is insufficient for generating general unitary -designs, a three-step protocol utilizing random evolution times and an additional Hamiltonian quench is sufficient to achieve arbitrary -designs by imposing stronger constraints on the frame potential.
This paper introduces a solvable spherical model of noisy coupled oscillators with random interactions, demonstrating that while distributed natural frequencies suppress finite-temperature spin-glass transitions due to incompatibility with the spherical constraint, a residual glassy phase persists at zero temperature.
This paper introduces a unified geometric framework that characterizes both the mean and fluctuations of dissipated availability in finite-time microscopic heat engines using metric tensors derived from equilibrium correlations, thereby establishing geometric bounds on efficiency and its variance across various stochastic systems.
This paper demonstrates that, unlike classical systems where time reversibility is broken by exponentially small errors, the quantum chaos diffusion of cold atoms or ions in a harmonic trap and pulsed optical lattice can be inverted with up to 100% efficiency, offering a quantum perspective on the historic Boltzmann-Loschmidt dispute regarding irreversibility.
This paper demonstrates that even when exact dynamical constraints are perturbed by a boundary thermal bath, Hilbert space fragmentation can induce exponentially slow thermalization in both Hamiltonian and random unitary circuit models due to strong bottlenecks that severely restrict the system's exploration of configuration space.