Gauss-Newton Natural Gradient Descent for Physics-informed Computational Fluid Dynamics

Repository for Publications and Research Data (ETH Zurich) 2026 Open access

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Authors: Anas Jnini, Flavio Vella, Marius Zeinhofer
DOI: 10.3929/ethz-c-000794165
Cited by: 0

Fields of Study & Subjects

Model Reduction and Neural Networks Neural Networks and Applications Computational Fluid Dynamics and Aerodynamics

Publication details

Journal / source
Repository for Publications and Research Data (ETH Zurich)
Publication date
24 January 2026
Language
EN