Happy to do a late announcement on my funded project on full domain analysis for fluid mechanics problems. The main use case is a climate adaptivity and city planning problem. I found three enthusiastic master students who will be working on quality diversity optimization, encodings for city planning problems, ensemble visualization of diverse flows and using machine learning for flow prediction.
https://www.h-brs.de/en/full-domain-analysis-fluid-mechanics
Full Domain Analysis for Fluid Mechanics
Artificial intelligence methods can efficiently help us understand aftermath requirements, constraints, and decision-making processes at an early stage. Algorithms are typically used in late stages of engineering development projects. We want to reverse this and show engineers early on which types of solutions meet their requirements.