Goal: Master the free energy landscapes that control the assembly of ordered templates into hierarchical and hybrid materials.
Challenge: The interplay of kinetic processes on downhill free energy landscapes are a rich source of morphological diversity but the rules that underpin hierarchical assembly have not been codified.
Approach: Develop CG models predicting expansion from initial order to extended lattices, nanoparticle assemblies, and scaffolds driving morphogenesis. Push the boundaries of what is possible in hierarchical material synthesis.
Outcome: A predictive understanding of the design features and solution conditions that drive materials growth and morphological evolution.