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 proposes a stochastic differential equation framework to model social evolution as continuous-time dynamics, enabling the quantification of irreversibility, detection of exogenous perturbations, and imputation of missing data to overcome the limitations of deterministic approaches in analyzing historical trajectories.
Using N-body simulations, this study reveals that bar formation mechanisms in disk galaxies vary significantly with halo concentration: highly concentrated halos favor swing-amplified multi-arm modes followed by particle trapping with minimal angular momentum transfer, lowly concentrated halos are dominated by linearly unstable modes triggering strong corotation resonance and rapid slowdown, while intermediate concentrations exhibit a combination of all these processes.
By decomposing the Helmholtz free energy across three repulsive systems, this study reveals that the nature of two-dimensional hexatic-liquid transitions is universally determined by a competition between the convex energetic contribution and the concave entropic contribution, where the dominance of the latter drives first-order transitions while its absence leads to continuous ones.
This paper proposes a practical experimental protocol using randomized measurements to detect strong-to-weak symmetry breaking in mixed quantum states by estimating Rényi-2 correlators, thereby enabling the study of novel quantum phases without requiring multi-replica setups.
This paper introduces a combinatorial design approach to create arbitrarily large numbers of floppy modes and frustrated loops in metamaterials, demonstrating their application in mechanical computing tasks like matrix-vector multiplication through sequential elastoplastic buckling.
This paper introduces an active binary mixture model to demonstrate that activity asymmetry between solutes and solvents serves as a key control parameter for tuning bubble formation in active phase separation, revealing that moderate solvent activity enhances bubbles while equal activities suppress them and allow for the estimation of critical exponents.
This paper derives exact analytical expressions for the mean first detection time and the full probability distribution of detecting an extended subspace in a fully-connected quantum system evolving under random projective measurements, validating these results through exact enumeration.
This paper establishes a gauge invariance framework for equilibrium statistical mechanics of classical multi-component systems, deriving exact sum rules that link species-resolved hyperforce correlation functions to spatial derivatives of pair distribution functions and validating the theory through simulations of binary Lennard-Jones mixtures.
This paper introduces Scrooge -designs to demonstrate that universal, maximally entropic "Scrooge ensembles" naturally emerge in quantum many-body systems through chaotic dynamics and measurements, revealing that coherence, entanglement, and information scrambling are the essential ingredients driving this information-stingy randomness.
This paper establishes a unified fluctuation-response framework for nonequilibrium Langevin dynamics that generalizes the fluctuation-dissipation theorem and derives practical response uncertainty relations, which are demonstrated to constrain the diffusion coefficient in the -ATPase molecular motor model.