2356 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 presents a one-dimensional wind-driven forest-fire model that reveals a transition from quasi-deterministic consumption to a chaotic steady state as lightning frequency increases, with an intermediate regime characterized by intermittent coexistence of deterministic and chaotic dynamics.
This paper presents a second-order moment closure mean-field theory that derives equations for coupling-weight variance in adaptive oscillator networks, revealing how the interplay between oscillator heterogeneity and symmetric or antisymmetric adaptation rules dictates whether the system remains globally coupled or evolves into structured connectivity patterns.
This paper investigates the discrete-time Kuramoto model with phase lag by deriving exact linear stability conditions for the incoherent state, analytically determining the synchronization threshold for Lorentzian frequency distributions, and revealing unique nonlinear phenomena such as periodic and chaotic states that distinguish it from the continuous-time counterpart.
By applying interaction renormalization from quantum field theory to the Hasegawa-Wakatani model, this paper demonstrates that E×B plasma staircases are stable only when the nonadiabaticity parameter exceeds a critical value of , below which the system becomes unstable and expands radially.
This paper establishes that optimal stochastic resetting rates for multiparticle search are rank-dependent, increasing with the arrival order and significantly influenced by spatial heterogeneity and particle interactions, thereby requiring tailored protocols based on specific completion ranks and system baselines.
This paper presents a multiscale modeling approach that fits radially varying effective diffusion coefficients from explicit-water molecular dynamics simulations into an NP+LEMC framework, successfully capturing complex ion transport behaviors and selectivity in charged nanopores that constant-diffusion models fail to reproduce.
This study investigates the magnetic properties of ferromagnetic diatomic molecules with mixed spin-1/2 and spin-1 atoms on a Bethe lattice, revealing that coordination number and crystal field strength qualitatively and quantitatively influence phase diagrams, which exhibit three distinct ferromagnetic ground states, a small magnetization phase, and both first- and second-order phase transitions including reentrant behavior.
This paper empirically validates a kinetic Ising model for online opinion dynamics by inferring transition probabilities from a year-long Twitter dataset, demonstrating that social influence, intrinsic bias, and degree-dependent temporal inertia accurately reproduce observed macroscopic behaviors and linking microscopic interactions to network topology.
This paper establishes a Lee-Yang zero-freeness theorem for a broad class of interacting fermion models, including the attractive and repulsive Hubbard models, which guarantees the absence of phase transitions under nonzero local external fields and enables provably efficient quantum algorithms for estimating their ground-state energies.
This paper characterizes the glassy nature of the Bose-glass phase in a disordered Bose-Hubbard model by demonstrating that while disorder drives the development of localized states and spatial inhomogeneity, thermal fluctuations suppress these signatures, revealing that no single diagnostic fully captures the state's evolution and necessitating a combined approach.