Welcome!

In our group, we combine theoretical and computational mechanics with cutting-edge machine learning and data-driven methods to model and design materials and metamaterials. Broadly, our research focuses on —

• studying the link between microstructures and macroscopic properties to design novel (meta-)materials with tailored, unusual, and beneficial mechanical and physical properties — including metals, polymers, architected materials, biomechanical implants, etc.

• modeling material systems using sparse and/or unsupervised data with a focus on discovering physically-consistent and mathematically-interpretable models (as opposed to curve-fitting based surrogates).