A machine learning inversion scheme for determining interaction from scattering

Abstract

Gels, foams, and paints fall into a class of soft matter materials with widespread usage in modern technologies. This paper combines machine learning and spectral analysis techniques to develop a toolbox to model the complex interactions in this family of materials, which allows to quantitatively extract the system parameters from data.