We propose an ML enhanced mixed-variable design optimization framework to efficiently extract useful information from existing data in literature and physics-based simulations to guide the autonomous search for optimal materials designs.
|Effective start/end date||4/28/20 → 4/27/22|
- Advanced Research Projects Agency - Energy (DE-AR0001209)
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.