Sebastian Schaffer

According to our database, Sebastian Schaffer authored at least 6 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Physics-informed low-rank neural operators with application to parametric elliptic PDEs.

Sebastian Schaffer, Lukas Exl

CoRR, September, 2025

Spectrally accurate and efficient convolution with the 3D free-space Laplace Green's function via the super-potential.

Lukas Exl, Sebastian Schaffer

CoRR, June, 2025

Higher order stray field computation on tensor product domains.

Lukas Exl, Sebastian Schaffer

CoRR, May, 2025

Physics aware machine learning for micromagnetic energy minimization: Recent algorithmic developments.

Sebastian Schaffer, Thomas Schrefl, Harald Oezelt, Norbert J. Mauser, Lukas Exl

Comput. Phys. Commun., 2025

2024

Constraint free physics-informed machine learning for micromagnetic energy minimization.

Sebastian Schaffer, Lukas Exl

Comput. Phys. Commun., 2024

2021

Prediction of magnetization dynamics in a reduced dimensional feature space setting utilizing a low-rank kernel method.

Lukas Exl, Norbert J. Mauser, Sebastian Schaffer, Thomas Schrefl, Dieter Suess

J. Comput. Phys., 2021