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 demonstrates that in one-dimensional harmonic chains with correlated mass and bond disorder, the scaling of thermal conductivity with system size is governed exclusively by the self-correlations of either disorder type, rendering cross-correlations negligible and offering a pathway to control heat transport for thermoelectric and insulation applications.
This paper reformulates the operator product expansion of heavy conformal field theory correlators as a Stieltjes moment problem to derive two-sided bounds and saddle-point solutions corresponding to generalized free fields, ultimately applying these techniques to predict OPE coefficients for interacting double-twist operators in holographic theories.
This paper proposes a self-consistent methodology for determining the work of an adiabatic process involving a Brownian particle in an optical tweezer, demonstrating that displacing the trap according to a specific protocol uniquely derives the external driving force based solely on the system's dynamical properties without requiring optimization.