Our vision is to establish the methodologies by which new classes of material systems tailored for impact events can be discovered and designed.
In collaboration with LANL
Our research is motivated by the observation that material systems subjected to high rate, destructive impact cannot yet be designed systematically due to complex combination of nonlinear phenomena. Traditional approaches often rely on intuition, empirical data, or limited parameter studies, which limits achievable capability.
The Center pursues an integrated program in which:
Design optimization is coupled with predictive physical models to identify architectures with targeted properties.
Uncertainty quantification and robust optimization ensure reliability of designs under variability and incomplete knowledge.
High-fidelity simulation methods with scientific machine learning capture the nonlinear, multiphysics phenomena central to impact events.
Exascale computing platforms provide the computational power needed to explore and expand design spaces.