2407 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 presents improved estimates of critical exponents and the evolution of critical strain in disordered fiber networks undergoing a floppy-to-rigid transition under non-volume-preserving uniaxial deformations, achieved through refined numerical simulations, larger system sizes, and enhanced theoretical analysis.
This paper demonstrates that temporal variability in complex systems acts as a stabilizing mechanism, allowing them to remain stable even when their instantaneous interactions would predict instability, thereby generalizing classical complexity-stability theory to non-autonomous dynamics.
This paper proposes concrete experimental protocols to realize and probe excited-state quantum phase transitions in a single trapped ion system by identifying specific critical states within the Extended Rabi Model, defining witness observables, and simulating their scaling behaviors and dynamics under both unitary and open-system conditions.
This paper investigates how symmetry-resolved entanglement entropy in a driven compact boson CFT deviates from equipartition due to an subalgebra-induced coupling between frequency modes, while also exploring the impact of non-unitary evolution on these entropies.
This paper introduces version 2.0 of SmoQyDQMC.jl, a flexible Julia package that implements the determinant quantum Monte Carlo algorithm to simulate Hubbard and generalized electron-phonon interactions using an optimized hybrid Monte Carlo method with exact forces for efficient phonon sampling.
This paper investigates the Ising model under a time-varying, spatially homogeneous Gaussian random magnetic field, identifying three distinct phases and characterizing their transitions through magnetization probability distributions and diverging escape times from ordered states.
This paper proposes using the Hausdorff dimension of the spectral form factor's associated random walk as a fractal diagnostic to distinguish chaotic Hamiltonians (dimension ) from integrable ones (dimension $1$), while providing exact moment calculations and proving Gaussian or log-Normal distributions under specific degeneracy conditions.
This paper extends the classical theory of coupled oscillators by developing a complete analytical and semi-analytical framework, utilizing Jacobi-Anger expansion and Floquet theory, to derive precise synchronization conditions for Stuart-Landau oscillators interacting through nonlinear functions on both undirected and directed networks.
This paper demonstrates that a -invariant Lagrangian perturbed by a complex, -symmetric anisotropy yields real critical exponents in both broken and unbroken phases, with the most stable fixed point flowing to an effectively Hermitian symmetric system, thereby showing that Hermiticity and symmetry can emerge as intrinsic features of inherently non-Hermitian theories.
This paper establishes the typicality of bipartite entanglement in one-dimensional anyon chains by deriving analytical expressions for average entropy and variance, revealing a unique topological Page curve asymmetry and demonstrating that chaotic eigenstates align with Haar-random predictions.