Overview
Our interest lies in developing and utilizing data-driven computational frameworks to characterize, understand, model and control multi-scale material systems and their associated uncertainties. To this end, we seek to address two grand challenges:
- In an (increasingly) data-rich world, how should we use data to drive material development and structural design?
- In complex material/structural systems, how would features in micro-scales affect the system level/macroscopic performance (i.e., Material by design perspective) and how would uncertainties propagate through each scale?
To this end, we strive to utilize and combine rigorous mathematics, high-performance computing and phyiscal/engineering insights in our study. The main focus of our current work includes:
- Data-driven multi-scale modeling
- Uncertainty Quantification of solid materials
- Mechanics of composites and meta-materials