Surrogate Modeling Approaches in the NASA Software Ecosystem
High-fidelity simulation is central to aerospace innovation, but complex computational fluid dynamics (CFD) and finite element analysis (FEA) solvers can often take days to complete. These long runtimes limit the number of design variations that can be explored, slowing down the pace of discovery. AI-powered surrogate models, built from high-fidelity simulation data, offer a breakthrough: rapid simulation predictions at lightning speed–up to 1,000X faster–part of a growing trend of applying “AI physics” methods to open new frontiers in design exploration and innovation.