2392 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 a unified frequency-domain fluctuation-response theory for nonequilibrium steady states that expresses the power spectrum of observables as a quadratic form of local responses, thereby extending static relations to finite frequencies and unifying various uncertainty and thermodynamic relations.
This work investigates the universality of kink-kink correlations in one-dimensional transverse Ising models under algebraic quenches across a quantum critical point and shows that while superlinear quenches are determined exclusively by the Kibble-Zurek length, sublinear quenches require an additional dephasing length and exhibit a continuously varying compressed exponential decay in their correlation functions.
This paper demonstrates that time-averaged observables in driven systems generically exhibit singularities in their finite-order derivatives at the onset of Hopf bifurcations due to geometric phase averaging, creating a universal hierarchy of nonanalytic behavior despite the absence of divergent stationary states.
By employing high-frequency alternating-field susceptibility measurements on DyTiO, this study corrects previous underestimations of the anomalous diffusion exponent , establishes its deviation from Brownian motion up to 20 K, and reveals its sample-dependent nature within the dense Coulomb fluid of magnetic monopoles.
This paper reveals that distinct dynamical observables in chaotic systems can share identical large deviation rate functions when their defining functions differ by a "derived" term, a property that also leads to -independent, non-Gaussian distributions for purely derived observables, thereby unifying and explaining various existing results in chaos theory.
This article presents a minimal, kinetically constrained model for Rydberg cavity systems that reveals a unique blocked ferromagnetic phase in equilibrium and long-range quantum many-body scars with logarithmic entanglement growth out of equilibrium, thereby providing a versatile framework for exploring the interplay of short- and long-range interactions in quantum many-body physics.
This article presents D-MODD, the first data-driven stochastic model in continuous time derived from longitudinal social media data, which accurately describes real opinion dynamics on polarized topics using a Langevin-like equation with empirically reconstructed drift and diffusion functions.
This paper investigates a queuing system with limited servers fed by a search process in a bounded domain subject to stochastic resetting, identifying a critical threshold resetting rate that determines whether resetting expands or shrinks the parameter regions for steady-state convergence and demonstrating that this threshold grows exponentially with the number of servers.
This article provides a rigorous framework for classifying the asymptotic behavior of time-dependent Lindblad equations with Hermitian jump operators by supplying a necessary and sufficient criterion for the uniqueness of the stationary state and by distinguishing between symmetries in the Schrödinger and interaction picture representations to explain the emergence of both time-independent and non-trivial oscillating stationary states.
This paper establishes rigorous error bounds for analog thermal state preparation via collision models by demonstrating that the spurious unitary "Lamb shift" generated by weak system-bath coupling actually tightens the fixed-point error scaling as , while also clarifying the role of randomization in suppressing resonances and analyzing the protocol's mixing time.