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 utilizes an effective theory of dynamic critical phenomena to demonstrate that the photon emission rate near the QCD critical point diverges with the correlation length and follows a universal spectrum, reflecting the nonequilibrium properties of the near-critical liquid.
This paper demonstrates that the multiscale complexity formalism, specifically the complexity profile, effectively characterizes the critical transition and emergent magnetic domain structures in two-dimensional Ising systems by identifying unique information-theoretic signatures in the critical region and bounded pairwise complexity in the disordered phase.
This paper presents a statistical-mechanical analysis of a random planting model with growing hard disks, demonstrating that its nonequilibrium steady state can be mapped to a nonadditive polydisperse hard-disk fluid to derive analytical predictions for plant density and spatial organization that align with numerical simulations.
This paper introduces the Krylov distribution, a novel static diagnostic that characterizes the organization of inverse-energy response within the dynamically accessible Krylov subspace, revealing universal scaling regimes across spectral supports and connecting fidelity susceptibility to Krylov-resolved resolvent amplitudes.
By extending the generalized Lotka-Volterra model to include both spatial structure and environmental fluctuations, this study demonstrates that the combined effect of spatiotemporal noise resolves the diversity-stability paradox by enabling arbitrarily large, strongly competitive communities to coexist through noise-induced anomalous scaling and effective sublinear self-inhibition.
This paper introduces the interpolation -Push TASEP Markov chain to provide a probabilistic interpretation of interpolation Macdonald polynomials at as partition functions, thereby generalizing the earlier result linking standard Macdonald polynomials to the multispecies -Push TASEP.
This paper establishes a gauge-invariant response theory for open quantum systems by deriving the Ward-Takahashi identity to demonstrate that gauge invariance holds independently of particle-number conservation, leading to the prediction of diffusive collective modes in dissipative BCS superconductors.
This paper establishes a robust bulk-boundary correspondence for two-dimensional non-Hermitian systems by utilizing Toeplitz operators and singular values instead of eigenvalues, thereby providing a stable topological classification for edge and corner modes that remains valid even under perturbations that break translational symmetry.
This study utilizes La-NMR to characterize the magnetic phase diagram of the equilateral triangular-lattice antiferromagnet BaLaCoTeO, revealing a zero-field 120 ordered state below 3.26 K and a field-induced sequence of transitions involving up-up-down and triangular coplanar phases above 3 T.
This paper proposes a self-consistent criterion for determining the validity range of linear response theory in classical open systems, utilizing a typical length scale derived from the fluctuation-response inequality and illustrated through examples like Brownian particles and the Kibble-Zurek mechanism.