1929 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 reports the first experimental observation of turbulence-like dynamics in dense monolayers of *Chlamydomonas reinhardtii* algae, demonstrating that active spatiotemporal chaos can emerge in systems lacking the orientational order or topological defects typically found in other active matter.
This paper investigates entanglement and information scrambling in one-dimensional Clifford measurement-only circuits with long-range parity checks, discovering a diverse set of phases and revealing that structured circuits can support highly entangled states that resist information scrambling and purify ancillas rapidly.
The paper demonstrates that long-range order emerges in locally coupled -dimensional Kuramoto oscillators on low-dimensional lattices () only when is odd, a parity-dependent phenomenon driven by the thresholdless synchronization of odd- oscillator pairs and analyzed through renormalization group methods.
This paper proposes a minimal theoretical framework, presented as a logical "flow chart" Gedankenexperiment, to guide experimentalists in detecting or engineering permutation-group paraparticles by mapping their unique signatures onto a chirality test.
This paper develops a variational framework based on a generalized Lagrange-d'Alembert principle to derive thermodynamically consistent stochastic field theories, ensuring local detailed balance and providing a unified geometric connection between phenomenological modeling and stochastic thermodynamics.
This paper generalizes open quantum system formalism to study a quantum harmonic oscillator coupled to a dissipative bath of anyon pairs, demonstrating that the anyonic statistics induce a temperature-dependent spectral density and unique relaxation dynamics most prominent at intermediate temperatures.
This study uses Monte Carlo simulations of active six-state Potts models to identify and characterize various wave modes—including spiral, target, stripe, and disordered waves—and demonstrates how their formation, coexistence, and transition dynamics are influenced by repulsion strengths and lattice configurations.
The paper proves that a quantum engine driven solely by bare measurements cannot extract work in a steady regime because, in that state, measurements become non-disturbing and fail to inject the energy required for work extraction, necessitating additional processes like feedback control or thermal contact.
This paper investigates how power-law algebraic correlations in matrix elements, introduced via a long-range correlated percolation model, drive qualitative transitions in eigenvalue statistics and spectral density, specifically identifying a critical threshold at where the distribution shifts from fat-tailed to Gaussian-like behavior.
This paper demonstrates that in charged colloidal crystals, electrostatic-elastic coupling causes wave-vector-dependent elastic softening that leads to a short-wavelength ultraviolet instability and local structural collapse, even while the macroscopic long-wavelength stability remains intact.