SUMMARY

Particle composite thin films (PCTFs) have applications in a diverse range of fields from water filtration to advanced energy storage to medical devices. Many mature coating technologies such slot-die casting offer a simple, yet effective method of continuously manufacturing PCTFs with a high level of thickness control. However, changes in processing parameters can lead to morphological and property changes in the cast thin film. In this work a Material Informatics framework, with appropriate spatial statistical models for this class of materials will be developed. This work will advance the ability to control particle distribution in PCTFs for a desired morphology and performance profile.