G. G. de Diego

activity

20212026

most citedNumerical approximation of viscous contact problems applied to glacial sliding

25 citations · 36 across the 3 of their papers we have counts for

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Showing 2026Show all

2 papers · 1 filter

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…

math.NA2026

Transform before linearizing: robust Newton methods for singular $p$ -Laplace and $p$ -Stokes equations

Gonzalo G. De Diego, Fortino Garcia, Georg Stadler +1

For $1 < p < 2$ , the $p$ -Laplace equation and its $p$ -Stokes generalization are difficult to solve numerically. Newton's method converges rapidly only close to the solution, with itera…

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

Transform before linearizing: robust Newton methods for singular p-Laplace and p-Stokes equations

Transform before linearizing: robust Newton methods for singular $p$ -Laplace and $p$ -Stokes equations