Abstract #3485

The “recipe” to know the type of dynamics “before” applying the diffusion models: application in water-soluble polymer

Alessandra Maiuro^1,2, Giulio Costantini¹, Elisa Villani³, Gabriele Favero⁴, Alessandro Taloni¹, and Silvia Capuani¹

¹Physics Dpt Sapienza University of Rome, National Research Council, Institute for Complex Systems (CNR-ISC), Rome, Italy, ²Physics, Sapienza University of Rome, Rome, Italy, ³Earth Sciences, Sapienza University of Rome, Rome, Italy, ⁴Environmental Biology, Sapienza University of Rome, Rome, Italy

Synopsis

Keywords: Simulation/Validation, Validation, Brownian Motion, Fractional Brownian Motion, Super-Statistics, dynamics, Polymer solution

Motivation: Currently, diffusion models are applied without knowing the type of dynamics a priori. The risk is to quantify parameters that do not reflect the dynamics of the system.

Goal(s): Here we show that it is possible to carry out a preliminary check to know the type of dynamics a priori.

Approach: We tested our recipe in 40% w/w Poly(ethylene glycol) (PEG) water-solution using PGSTE at different big Delta, little Delta and gradient strength.

Results: We showed that both water and PEG CH₂ showed a Super-Statistic dynamic while the dynamics of the OH tail of PEG is an unknown process.

Impact: Currently, diffusion models are applied without knowing the type of dynamics a priori. We introduce a recipe to know the type of dynamics. This method avoids the quantification of diffusion-parameters that do not reflect the true diffusion of the system.

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