Well-posed by Design: Learning Constitutive Laws from Velocity Data using Convex Neural Network Potentials

Gonzalo G. de Diego, Georg Stadler

Learning constitutive laws of complex fluids from velocity data (i.e. indirect observations) is a PDE-constrained inverse problem in which expressive neural parameterizations risk…