Self-diffusion of water molecules measured with nuclear magnetic resonance (NMR) explores composite soft matter non-invasively. Detecting structural properties from NMR data is a challenging inverse problem and has to account for variability in shapes, sizes and concentrations of the compartments of soft matter. In this paper we develop a numerical method, providing a fundamental understanding of contrast diffusion mechanism in NMR signal closely linked to both the compartment hierarchy and the temporal spectrum. We model a composite with self-similar random structure and demonstrate that we retrieve the effective dynamic diffusion spectrum as function of geometries of different shapes, sizes and concentrations of disordered compartments of material.


Разработка: студия Green Art