Computational methods are often employed to understand model soft matter systems, as they have the ability to strictly control the composition and environment of the structures being investigated, as well as span from microscopic to macroscopic length scales. Computational methods are limited, however, by their suitability to the system and must be regularly validated against experimental results to ensure accuracy. The use of informatics in the prediction of soft matter properties is also a growing field in computer science thanks to the large amount of data available for soft matter systems.