1581 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 defects and interfaces in a two-dimensional quantum hard-disk model remain stable even when short-range soft-core interactions are introduced, highlighting the robustness of their non-classical dynamics against perturbations.
This study reveals how internal activity drives spontaneous deformations and mechanical softening in crystalline solids through non-affine fluctuations, ultimately leading to defect formation and a two-step melting process that can be locally controlled via spatially patterned activation.
This paper establishes a universal "Li-Haldane correspondence" for critical free-fermion systems in arbitrary dimensions by analytically proving an exact relation between the bulk entanglement spectrum and the boundary energy spectrum, thereby providing a robust fingerprint for detecting nontrivial topology protected by global on-site symmetries.
This paper demonstrates that free-standing active filaments can achieve robust, polyfunctional locomotion (such as crawling, digging, and walking) by harnessing non-reciprocal interactions to transform elastic snap-through into persistent self-snapping cycles mediated by a critical exceptional point, thereby overcoming the limitations of tethered or externally controlled artificial active rods.
This paper investigates the phase structure of the Russian Doll Model with a -term, revealing a rich landscape of localized, ergodic, and multifractal phases in both deterministic and disordered regimes, while establishing a deep connection between the model's Bethe Ansatz equations and the BPS sector of SQCD vortex strings to suggest applications in dense QCD.
By combining large-scale neural quantum state simulations with effective theory, this study reveals that persistent coherent quantum dynamics and slow relaxation in 2D long-range quantum magnets arise from the formation of magnon bound states driven by effective attractive interactions, offering a generic mechanism observable in current quantum simulation platforms.
This paper surveys the largely independent, convergent discovery of mathematical measures for critical phenomena across six to twelve disciplines over the past ninety years, providing a taxonomy of these discoveries and quantitative evidence of minimal cross-domain citation during their formative period.
This paper investigates nearest-neighbour deformations of integrable models, specifically the XXZ spin chain, by classifying four distinct deformation types and providing numerical evidence that the onset of chaos and its volume scaling differ significantly between models that are perturbatively integrable versus those that are fully integrable or non-integrable.
This study utilizes event-driven molecular dynamics simulations to investigate the phase diagram of self-propelled hard disks with Vicsek-type interactions, revealing how the competition between polar alignment and excluded-volume-induced orientational order suppresses motility-induced phase separation while causing anomalous shifts in transition points driven by local configurational fluctuations.
This paper investigates the thermodynamic geometry of the one-dimensional Blume-Capel model within the Tsallis nonextensive framework, demonstrating that the nonextensivity parameter systematically deforms the scalar curvature profile to reveal how generalized statistics alter correlation structures and pseudo-critical crossovers in spin-1 systems.