Minisymposium Presentation

In this talk, we will focus on discussing recent work to assess the capability of AI surrogate models in the prediction of automotive aerodynamics. In particular, the talk will focus on both dataset generation (specifically efforts behind generating the AhmedML, WindsorML and DrivAerML open-source datasets) as well as results from both GNN and neural operator approaches for surface, volume and integral quantities. The focus will be on bringing to light successes but also failures and challenges in current methods that can hopefully motivate further development by the community.