1558 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 characterizes the rugged energy landscape of the kagome Heisenberg antiferromagnet by revealing a hierarchy of barrier scales associated with collective weathervane-loop rotations, which governs multiple dynamical time scales ranging from fast local six-spin relaxations to slower collective rearrangements.
This paper demonstrates that mixed-wet percolation exhibits a rare coordination-number-dependent breakdown of universality, where the dual triangular lattice () follows ordinary site percolation scaling while the dual honeycomb lattice () follows the scaling of percolation cluster hulls due to the isolation of internal and external perimeters.
This paper proposes a control framework for confined active matter that utilizes self-propulsion statistics as the sole control parameter to establish fundamental speed limits for non-equilibrium transitions and enables active cooling protocols that outperform passive counterparts by leveraging pre-loaded negative position-propulsion correlations.
This paper demonstrates a nonequilibrium analogue of Kramers turnover in a driven-dissipative Kerr parametric oscillator by theoretically establishing a method to decouple activation barriers from damping via drive-controlled rescaling and experimentally verifying the resulting nonmonotonic switching rate crossover in a micro-electromechanical device.
This paper utilizes order statistics to demonstrate that in a three-dimensional homogeneous random gas of point masses, the formally divergent variance of the Holtsmark gravitational force distribution arises exclusively from the contribution of the nearest neighbor, while contributions from all more distant neighbors remain finite.
This paper presents an exactly solvable integrable statistical model for fluid systems that links finite-size virial expansions to nonlinear hydrodynamic PDEs, demonstrating how thermodynamic phase transitions emerge as shock waves in the infinite-particle limit and applying this framework to map the QCD phase diagram while quantifying how finite-size effects obscure critical signatures.
Using quantum Monte Carlo simulations on a square-octagon lattice Heisenberg model, this study reveals that gapless modes induce a sublinear magnon dispersion in the entanglement spectrum, signaling emergent long-range interactions in the entanglement Hamiltonian that can be explained by the deconfinement of worldlines in the path integral formulation.
This paper demonstrates that accounting for finite-size effects through a microscopic polaron transform is essential for accurately determining quantum Fisher information in strongly coupled spin chains, revealing that phenomenological approaches fail to capture the true metrological potential for low-temperature thermometry and anisotropy-controlled magnetometry.
This paper demonstrates that a system of particles in three dimensions interacting with two finite heat reservoirs via Kac-type collisions behaves effectively as if coupled to infinite thermostats for times significantly shorter than , while also extending existing results to the three-dimensional case when the reservoir temperatures are equal.
This paper establishes a rigorous, decoder-independent framework by generalizing the statistical-mechanical mapping to transversal Clifford logical circuits, enabling precise estimation of error thresholds for fault-tolerant computation and demonstrating that transversal gates like tCNOT reduce the toric code's bit-flip threshold from 0.109 to 0.080.