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 investigates a generalized two-dimensional site percolation model with energy-weighted bonds, demonstrating through Monte Carlo simulations and real-space renormalization-group methods that varying the bond energy continuously interpolates between distinct regimes of cluster connectivity, systematically shifts the percolation threshold, and alters critical exponents in agreement with Coulomb-gas predictions.
This paper reviews recent advancements in calculating pair correlation functions for broken symmetry phases to formulate an exact classical density functional theory, demonstrating its accuracy in describing phase transitions and ordering in molecular systems through comparisons with simulations.
This study demonstrates that a university extension activity involving undergraduate physics students designing and presenting low-cost didactic experiments in a public space effectively bridges the gap between academia and society by enhancing student learning, developing communication skills, and fostering scientific curiosity among the community.
This paper derives a universal relation linking the transverse coherence length of an electron beam to the single-particle localization length in Coulomb-disordered media, revealing distinct energy dependences for static and dynamic plasmas and highlighting the significant impact of disorder-induced phase decorrelation on high-resolution electron microscopy.
This paper establishes necessary topological constraints on graph structures that enable or prevent long-range order in locally interacting systems, demonstrating how interaction combinatorics dictate the capacity for self-organization and explaining the superior pattern-forming abilities of biological multiscale systems compared to rudimentary language models.
This paper introduces the projected process ensemble as a unified framework for diagnosing quantum chaos in many-body systems, demonstrating that its higher moments reveal characteristic entanglement structures that more sharply distinguish chaotic from integrable dynamics than previously studied chaos quantifiers.
This paper presents a data-driven framework that integrates short-time thermodynamic uncertainty relations with deep learning to accurately reconstruct dissipative force fields and spatiotemporally localize entropy production along non-equilibrium trajectories in complex systems.
This paper demonstrates that coupling a one-dimensional Ising chain to a cavity photon mode induces an exactly solvable finite-temperature superradiant phase transition, a phenomenon impossible in the isolated classical 1D system due to the emergence of long-range fully connected interactions mediated by photons.
This paper extends the deconfined quantum criticality paradigm to systems with internal supersymmetry by proposing a supersymmetric deconfined quantum critical point (sDQCP) between an -breaking phase and a lattice rotation-breaking phase, which is described via a non-linear sigma model on a supersphere and a gauge theory, and shown to continuously connect to the conventional DQCP when supersymmetry is explicitly broken.
This paper demonstrates that for a classical Brownian oscillator, the generalized Langevin equation with linear dissipation satisfies the Jarzynski equality at finite times only if the thermal noise is Gaussian (beyond seventh-order perturbation), rendering non-Gaussian variants superfluous for evaluating properties beyond linear or quadratic noise dependence.