1593 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 demonstrates that using a non-intrusive operational definition of work reveals how initial quantum coherence significantly alters work fluctuations and dissipation bounds compared to classical ensembles, establishing coherence as a resource for thermodynamic precision without additional energy costs.
This study utilizes Langevin dynamics simulations to investigate and classify the steady states and phase transitions of soft repulsive particle systems exhibiting density-dependent motility under two contrasting scenarios: correlated motility, where dense regions are active, and anti-correlated motility, where dilute regions are active.
This paper introduces a generalized -layer construction with structured inter-layer mixing to reshape global loop structures, thereby smoothing rugged energy landscapes in probabilistic graphical models and significantly accelerating the convergence to global minima across various optimization benchmarks.
This paper establishes a microscopic quantum-geometric theory of entropy transport for Bloch electrons, demonstrating that the quantum metric drives entropy production while the Berry curvature induces an entropy Hall effect, thereby linking nonequilibrium entropy flow to universal relations with charge currents and anomalous thermoelectric responses.
This paper reinterprets Benoît Mandelbrot's role in the origins of econophysics as a methodological shift toward accepting empirical data's stubborn features—such as scaling and extremes—by utilizing statistical physics concepts to model endogenous market dynamics and collective fragility rather than relying on axiomatic equilibrium theories.
This paper experimentally demonstrates that weakly broken conservation laws in a 14-atom dipolar Rydberg quantum spin chain leave a distinct fingerprint in the anomalous growth of non-local observables, such as magnetization fluctuations, thereby validating Rydberg-atom arrays as a powerful platform for probing fragile integrability in quantum many-body systems.
This paper introduces a computationally efficient hierarchical cluster growth method to solve the two-dimensional ferromagnetic spin-3/2 Ising model, successfully reproducing key experimental features of monolayer CrI such as its magnetization, specific heat, and residual entropy while circumventing the exponential complexity of traditional approaches.
This paper reconciles the two prevailing views on ultraslow glass dynamics by demonstrating that both local mobility constraints and global landscape complexity are unified through "time-reparametrization softness," a property that modern acceleration algorithms successfully exploit to optimize relaxation and potentially solve broader constraint satisfaction problems.
This paper reveals that pixel-space diffusion models intrinsically separate information by dedicating most of their capacity to reconstructing fine-grained perceptual details while relying on semantic content for class correlations, a structural property that explains the efficacy of classifier-free guidance in prioritizing semantic structure early in the generative process.
This paper presents a variational analysis of a spin-orbit coupled spin-boson model in a sub-ohmic bath, revealing localization transitions and ground state changes in both translational invariant and confined systems, where entanglement entropy serves as a key marker for these phenomena and decoherence effects relevant to quantum information processing.