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Christian Hundt

2 accepted papers

2023

Geometry-Informed Neural Operator for Large-Scale 3D PDEs

NeurIPS 2023poster

We propose the geometry-informed neural operator (GINO), a highly efficient approach for learning the solution operator of large-scale partial differential equations with varying geometries. GINO uses a signed distance function (SDF) representation of the input shape and neural operators based on gr…

Cited by 106SourcePDFScholar
2023

Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere

ICML 2023oral

Fourier Neural Operators (FNOs) have proven to be an efficient and effective method for resolution-independent operator learning in a broad variety of application areas across scientific machine learning. A key reason for their success is their ability to accurately model long-range dependencies in…