Overview:
We aim to develop accurate and rapid computational models and tools for predicting complex behaviors of advanced materials and structures with the help of artificial intelligence (AI) and machine learning (ML) techniques.
The developed models are applied to various materials (e.g., fiber-reinforced composites and lattice metamaterials and structures (e.g., fixed/morphing wings, thin-ply composite laminates, and pressurized habitats). In addition, we are implementing advanced models into open-source and commercial finite element software so that the end-users can easily apply the advanced models to real-world problems.