SMaRT QD aims to build from machine learning studies using the MGI approach in the ‘bottom-up’ assembly of building blocks to design with specific composition, morphology, and structural properties to hierarchical systems and controlling such systems; thereby facilitating the manipulation of properties through structure-function.

SMaRT QD Interdisciplinary Research Thrust (IRT) projects are all focused on the integration of experimental, theoretical and computational approaches in the design of materials, extension of the MGI database, as well as the development of advanced characterization techniques to probe structure-function.

The SMaRT QD pathway intricately links the integration of research and education through partnering exchange mechanisms involving innovative undergraduate & graduate research and mentoring, training, and outreach.