1581 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 theoretically demonstrates and numerically confirms that imposing uniaxial anisotropy on an active suspension creates new universality classes characterized by superdiffusive concentration relaxation and a novel, activity-driven phase separation mechanism arising from the interplay between active stresses and curvature-dependent particle currents.
This paper demonstrates that quantum annealing can efficiently locate sub-threshold energy states in spherical -spin glass models within time, achieving residual energy decay rates up to twice as fast as classical simulated annealing while remaining free from finite-size effects.
This paper establishes an exact information-geometric equality for single-qubit systems that enables a non-iterative, linear regression approach to continuous-time quantum process tomography, effectively bypassing local minima issues while accurately estimating GKSL master equation parameters.
This paper proposes a data-driven method that applies Koopman analysis to the nonlinear dynamics of variational parameters to predict the ground-state energy of quantum Hamiltonians, offering a way to estimate energies even when the true ground state lies outside the variational manifold.
This paper establishes a universal scaling framework for dynamical-thermal hysteresis, demonstrating that the competition between field sweep rates and thermal fluctuations governs a crossover between two distinct scaling regimes for the hysteresis loop area, thereby resolving long-standing inconsistencies in reported exponents across magnetic materials, simulations, and analytical models.
This study demonstrates that increasing the number of active filaments attached to a heavy head mechanically rescues directed transport from inertia-induced spinning arrest by sterically disrupting coiled conformations, thereby achieving up to five orders of magnitude enhancement in propulsion through either coordinated bundling or the destruction of orientational coherence.
This paper presents an exactly solvable two-dimensional model of the Mpemba effect in an overdamped Langevin system within a radially symmetric bistable potential, analytically demonstrating how specific initial conditions can lead to faster relaxation to equilibrium through non-monotonic mode amplitudes and a derived crossing condition for the Kullback-Leibler divergence.
This paper demonstrates that while the timescale of leader reshuffling in a one-dimensional gas of independent Brownian particles in a power-law potential depends on the potential's exponent , the underlying order statistics and the explicit generating function for reshuffling probabilities are universal and independent of .
This paper demonstrates that a deep reinforcement learning approach can identify optimized dynamic magnetic-field and temperature protocols to achieve deterministic, stable skyrmion creation in Fe3GeTe2 monolayers by minimizing dissipated work and suppressing thermal annihilation.
This paper introduces a tensor network framework that enables the application of large deviation theory to large monitored quantum many-body systems, successfully identifying first-order dynamical phase transitions and characterizing the coexistence of distinct dynamical phases through conditioned quantum states.