This symposium is focused on the theoretical and computational modeling of synthetic and natural soft-materials. The nature of nanoscopic units (e.g. biomolecules, polymers etc.) and their macroscopic structures (e.g. micelles, fibers, bilayers, vesicles, helices, emulsions, foams etc.) often determine the properties and applications of soft-materials. Even with the recent advances in the experimental techniques, it is very challenging to predict the final macroscopic structures, properties, stimuli-sensitivity, and emerging collective phenomena, a priori, from knowledge of the atomic constituents of nanoscopic units and processing parameters (solvent, temperature, gas environments etc.). This limits our ability to further develop and improve new soft materials with predefined structure, properties, and function. To overcome this limitation, to test and validate the design, and to predict the characteristics of novel soft materials with precision, development in advanced multiscale modeling methods and theory combined with the state-of-art high performance computing has been employed. This symposium is inspired by the Materials Genome Initiative and will address the design and characterization of structural and dynamical properties of soft materials using theoretical and computational modeling.

biological biomaterial composite fluid graphene kinetics polymer simulation surface chemistry water