2356 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 argues that the microscopic mechanism of cuprate high- superconductivity has been definitively solved by recent experimental verification of the charge-transfer superexchange mechanism within the three-band Emery model, while also outlining the remaining open questions and proposing a theoretical minimum for the problem.
This paper extends Jarzynski's inequality beyond its standard derivation from the Jarzynski equality by analyzing its application to chemical systems in both linear and non-linear regimes, generalizing it to many-body quantum field theories using functional-integral techniques, and discussing its connections to the maximum work theorem and Landau-Lifshitz fluctuation theory.
This paper introduces an analytical dimension-reduction framework that maps higher-order networked dynamics onto effective low-dimensional systems to accurately predict critical transitions, revealing how the alignment between pairwise and higher-order connectivity fundamentally shapes system resilience and phase transition behaviors.
This short pedagogical paper explores and clarifies the application of mean-field theory to zero-temperature quantum phase transitions, specifically focusing on the Ising and Blume-Capel models.
This paper establishes that in the one-dimensional infinite- Hubbard model, the no-passing constraint causes flavor transport to be kinematically subordinated to charge transport, resulting in exact relations between their cumulants and a universal non-Gaussian M-Wright asymptotic distribution for flavor transfer.
This paper proposes an unsupervised method for selecting essential neurons in overparameterized neural networks by minimizing mapping entropy, a metric based on hidden-activation statistics that effectively identifies informative subnetworks and enhances predictive performance under strong compression without relying on labels or gradients.
This study combines theory and large-scale molecular dynamics simulations to demonstrate that the thermodynamics and glassy dynamics of inverse-power-law systems can be unified through a specific crossover temperature and density-temperature scaling, enabling the prediction of relaxation behavior across a wide range of densities from a single state point.
This paper investigates the transition from reversible to non-reversible Markov chains on one-dimensional path and lifted path graphs, analyzing how perturbations affect diagonalizability and eigenvalue spectra across various steady states to quantify mixing speedups and compute characteristic times via a newly developed Green's matrix formalism.
This paper introduces a weighted pair-entropy descriptor that incorporates medium-range order to establish a strong, physically interpretable link between static structure and heterogeneous dynamics in glass-forming systems, significantly outperforming conventional local excess entropy in predicting particle-level dynamical propensity.
This paper introduces a molecular interfacial rheology method that reconciles equilibrium molecular dynamics simulation data with continuum mechanics via the Mori-Zwanzig formalism to accurately extract the wavevector-dependent shear viscosity of lipid membranes, a finding validated by nonequilibrium simulations.