The field of soft matter spans a number of important systems including liquids, colloids, foams, gels, polymers, and biological materials. Due to the enormous chemical diversity, compositions based on earth abundant elements, and the ability for large scale production, many of these systems offer attractive cost effective alternatives to traditional materials, an advantage that can clearly help drive our nations industrial competitiveness. As such, soft matter systems are increasingly called upon to help solve or complement current and future needs in science and technology. While the intrinsic chemical diversity of soft matter systems is a recognized advantage in the materials world, it nonetheless poses a grand challenge in regard to the development of adequate structure-property-transport-processing relationships capable of narrowing the design space to one that is tractable. In this regard, it is imperative that theoretical and simulation tools can be utilized in a tightly integrated manner with experiments in order to develop a better understanding of the underlying physicochemical processes that control the critical physical, mechanical and electrical properties, and to enable capabilities for reliable design and prediction of soft matter systems that can meet desired performance metrics. The goal of our work is to use scale spanning computational methods to help understand and guide the development of new/improved soft materials with robust morphologies.