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physics.flu-dyn2026
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…
physics.flu-dyn2024
Modeling sea ice in the marginal ice zone as a dense granular flow with rheology inferred from discrete element model data
Gonzalo G. de Diego, Mukund Gupta, Skylar A. Gering +2
The marginal ice zone (MIZ) represents the periphery of the sea ice cover. In this region, the macroscale behavior of the sea ice results from collisions and enduring contact betwe…