Physics-aware deep generative models are used to design material microstructures exhibiting tailored properties. Multi-fidelity data are used to create inexpensive yet accurate machine learning surrogates for evaluating the physics-based constraints within such design frameworks.
- Xian Yeow Lee
- Joshua R. Waite
- Soumik Sarkar
