Diffusion-entropy scaling across dimensions
Nayana Venkatareddy, Mohd Moid, Prabal K. Maiti, Biman Bagchi

TL;DR
This study establishes a near-universal exponential relationship between diffusion coefficients and entropy in liquids across different dimensions, validated through extensive simulations of Lennard-Jones liquids and water, revealing insights into particle mobility and thermodynamics.
Contribution
It demonstrates the exponential diffusion-entropy relationship across multiple dimensions and systems, highlighting its robustness and the influence of dimensionality and microscopic mechanisms.
Findings
Diffusion coefficient ratio follows exponential dependence on entropy difference.
Dimensionality affects the exponential prefactor, especially in Lennard-Jones liquids.
The diffusion-entropy relationship persists even when separating translational and rotational entropy.
Abstract
A quantitative relationship between the diffusion coefficient of a tagged particle in a liquid and the entropy of that liquid has long been sought, as it would allow entropy to be inferred directly from diffusion measurements and transport properties to be predicted from thermodynamic information. Here, we employ extensive computer simulations to independently compute both and for Lennard-Jones (LJ) liquids and for water across a wide range of thermodynamic state points. Our study covers two and three dimensions for both systems, and additionally explores one-dimensional confinement for water. We find that the ratio of diffusion coefficients between two states follows an almost perfect exponential dependence on their entropy difference. For LJ liquids, the exponential prefactor exhibits a pronounced dependence on dimensionality , consistent in trend but quantitatively…
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