2377 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 study demonstrates that an equilibrium-inspired rational function approximation, when supplied with specific nonequilibrium inputs, accurately describes the short- and intermediate-range particle-scale structure of granular suspensions across a broad range of conditions, though it underestimates long-wavelength correlations near the smallest wave numbers.
This paper demonstrates that introducing identical quenched disorder in the coupling of coupled map lattices drives a second-order synchronization transition with new, dimension-independent critical exponents that differ from the multiplicative noise universality class.
This paper investigates the dynamics of bipartite and multipartite entanglement in two- and three-site minimal Kitaev chains, demonstrating that tunable interplay between superconducting pair potentials and onsite energies can robustly generate maximally entangled states, including GHZ and W-type states, despite parity constraints and the presence of Majorana quasiparticles.
This paper demonstrates that introducing quenched disorder in the form of asymmetric couplings within a coupled map lattice model causes the system's critical exponents for the transition to an absorbing phase to vary continuously, deviating from the standard directed percolation universality class observed in the disorder-free limit.
This paper demonstrates that the speed and encoding bottlenecks in the self-assembly of complex protein structures can be overcome by kinetically controlling a small fraction of highly connected components, offering a unifying principle for the role of biological assembly factors.
This paper investigates how strong long-range interactions in finite quantum systems lead to Hilbert-space fragmentation and anomalously slow prethermalization, proposing a "fragmented eigenstate thermalization hypothesis" (fETH) to explain band-resolved thermalization and ensemble inequivalence without global ergodicity.
This study investigates velocity circulation statistics in Rayleigh-Bénard convection at a Rayleigh number of , revealing that while thermal boundary layer vortex structures are strongly correlated with temperature and exhibit altered aspect ratios, their circulation statistics largely resemble those of homogeneous isotropic turbulence and satisfy the Area Rule, except in a transitional region near the walls.
Motivated by recent experimental observations of vibrational strong coupling effects in molecular liquids, this paper proposes a mesoscopic Ginzburg–Landau model coupling collective vibrational polarization with a structural field to explain resonantly enhanced Rayleigh scattering, threshold behaviors, and predicted enhancements in long-wavelength density correlations and structural dynamics.
This paper demonstrates that while dynamical quantum phase transitions (DQPTs) persist under slow quenching only when crossing an equilibrium quantum phase transition, accidental DQPTs within the same phase are filtered out, thereby establishing slow quenches as a robust dynamical probe for identifying equilibrium quantum critical points.
This paper presents a kinetic theory based on Enskog-Thorne formalism that accurately predicts the shear viscosity of dense binary dipolar hard-sphere fluid mixtures up to a packing fraction of 0.3 without using any mixture-derived fit parameters, showing strong agreement with molecular dynamics simulations.