1940 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 establishes an equation of state linking edge fluxes in nonequilibrium chiral colloidal fluids to bulk odd stress observables, thereby revealing and contrasting the microscopic origins of these currents in both passive and active systems.
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 investigates symmetry-resolved entanglement in non-relativistic Lifshitz field theories, revealing distinct behaviors in scalar and fermionic models regarding equipartition and entropy dominance across varying dynamical exponents, masses, and subsystem sizes, with implications for experimental platforms like cold atom systems.
This paper introduces a spectral generalized response framework based on the eigen-microstate distribution to identify third-order pseudo-transitions in finite systems through the ratio, offering an order-parameter-free geometric characterization of structural criticality that distinguishes between dominant ordering channels and subleading fluctuation redistributions.
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 that stochastic resetting can induce finite pairwise entanglement between spatially separated spins in periodically driven quantum spin chains, revealing a critical resetting rate below which entanglement vanishes and an optimal rate that maximizes it, with both rates exhibiting non-monotonic dependencies on the driving frequency.
This paper proposes that the vortex line ensemble in Vinen quantum turbulence within superfluids is characterized by non-extensive Tsallis-Cirto statistics with a parameter of .
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 analyzes polymer replication as a communication channel to reveal that while information per monomer depends on template specificity, the observed four-base DNA alphabet is optimized for suppressing spontaneous assembly rather than maximizing information-to-energy efficiency, highlighting a fundamental trade-off between biological fidelity and thermodynamic cost.