2358 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 mesoscopic scaling framework for the Dicke model that integrates static and dynamical critical phenomena, successfully recovering critical exponents and verifying Kibble-Zurek scaling by accounting for the competition between finite size, dissipation, and ramping speed.
This paper demonstrates that minimally tunable postvariational quantum circuits exhibit an intermediate "learning phase" characterized by spectral nonflatness and high metrological sensitivity, which serves as a computationally useful resource for scalable nonlinear information processing before deep quantum chaos suppresses observable responses.
This paper demonstrates that the meson spectra near -dimensional Ising criticality exhibit a universal mass scaling trajectory and stable-meson count, which are confirmed numerically across Ising field theory, mixed-field Ising chains, and real-world quasi-one-dimensional antiferromagnets like BaCoVO after rescaling microscopic couplings.
This paper proposes and characterizes protocols in the periodically driven central spin model that utilize an interaction-induced echo mechanism to engineer exact quantum revivals, stabilize discrete time crystals, generate multipartite entangled states for steering, and achieve Heisenberg-limited multiparameter metrology.
This paper investigates the collective dynamics of chiral intelligent active Brownian particles with polar alignment and vision-based sensing, revealing how the interplay between chirality, non-reciprocal perception, and alignment parameters drives the emergence of diverse collective states such as vortices, ripples, and swarms that are inaccessible to non-chiral systems.
This paper introduces the concept of "entropic rigidity depth" to quantify how the geometric and algebraic structures of quantum error-correcting codes determine the specific error weight at which maximum-likelihood decoding diverges from maximum-probability decoding due to configurational entropy, thereby establishing a universal hierarchy for decoder selection in low-noise regimes.
This paper demonstrates that, unlike in electronic systems where topological effects cancel out in transport noise, multiband bosonic systems exhibit a unique, occupation-weighted dispersion of Chern numbers in their current fluctuations that can be experimentally detected via a frequency-resolved equilibrium cross-spectrum sum rule.
This paper presents an exact finite-size spectral solution for the periodic non-Hermitian Baxter-Fendley clock chain by utilizing an operator-valued matching polynomial to generate conserved quantities and derive polynomial spectral equations, enabling efficient numerical computation of ground-state energies and revealing distinct boundary-induced criticality compared to the open-chain counterpart.
This paper establishes a rigorous proof for the convergence of the renormalization group flow of the non-critical nearest-neighbour Ising model to trivial fixed points by utilizing a random cluster representation to relate the flow's scaling limit to a simple one-dimensional dynamical system.
This thesis establishes the high resilience of fracton-based quantum error-correcting codes by utilizing statistical-mechanical mappings and Kramers-Wannier-type dualities to analyze classical Ising models, ultimately determining that the Checkerboard code achieves the theoretical maximum error threshold for three-dimensional CSS codes.