1572 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.
The paper introduces SMT-AD, a highly parallelizable quantum-inspired anomaly detection method based on superposed matrix product operators with Fourier-assisted feature embedding, which achieves competitive performance on standard datasets with minimal configurations while offering efficient model compression and feature selection.
This paper demonstrates that a local H-theorem holds for both the Enskog equation with a modified Enskog factor and the corresponding Enskog-Vlasov equation, establishing a stronger result than the previously proven global H-theorem.
This paper introduces TNRKit.jl, an open-source Julia package built on TensorKit.jl that provides a symmetry-aware framework for performing Tensor Network Renormalization on 2D and 3D classical statistical and lattice field theories to compute thermodynamic quantities and extract universal conformal data.
This paper extends the application of test particle sum rules to optimize the free parameters in the Lutsko formulation of White-Bear and White-Bear mark II fundamental measure theory functionals, resulting in more accurate and consistent classical density functionals for hard-sphere fluids.
This perspective paper reviews recent theoretical, numerical, and experimental advances demonstrating that topological defects, traditionally used to explain crystalline properties, also provide a fundamental framework for understanding the mechanical response and complex dynamics of amorphous solids, while highlighting key open questions and future research directions.
This paper initiates the integrability-based study of AdS/CFT dual pairs deformed by Groenewold-Moyal twists by constructing a coupled twisted spin-chain model, deriving its deformed spectrum via the Baxter equation, and successfully matching the leading energy terms with a non-local conserved charge derived from a deformed BMN string solution in the large- limit.
This study employs numerically exact quantum Monte Carlo simulations to reveal that triangular Rydberg atom arrays exhibit anti-ferromagnetic order at specific fillings and an emergent Kosterlitz-Thouless phase driven by an order-by-disorder mechanism at half-filling, providing theoretical predictions for future experimental verification.
This paper introduces a novel "Gutzwiller projection QMC" scheme that combines unbiased projective determinant QMC with variational Monte Carlo to significantly accelerate convergence and substantially alleviate the sign problem in simulations of interacting fermionic systems.
Using the Bethe Ansatz, this paper reveals a novel phase between the Kondo and unscreened phases in the non-Hermitian Kondo model, demonstrating that dissipation drives a phase transition characterized by distinct time scales and a generalized Kondo temperature.
This paper introduces a Feynman diagrammatic framework for computing free energies at fixed variances in high-dimensional systems, which overcomes limitations of traditional perturbative expansions by not requiring a Gaussian baseline and enabling improved entropy estimation and insights for applications ranging from spin systems to matrix factorization.