Neural Fields for Rapid Aircraft Aerodynamics Simulations (2024)
Scientific Reports, Vol. 14(1), pp. 25496
Abstract: This paper presents a methodology to learn surrogate models of steady state fluid dynamics simulations on meshed domains, based on Implicit Neural Representations (INRs). The proposed models can be applied directly to unstructured domains for different flow conditions, handle non-parametric 3D geometric variations, and generalize to unseen shapes at test time… [shortened for brevity]
| Paper PDF | Code | Data |