13 citations · 22 across the 2 of their papers we have counts for
2 papers
physics.comp-ph2023★ 13 cited
Physics-informed machine learning and stray field computation with application to micromagnetic energy minimization
Sebastian Schaffer, Thomas Schrefl, Harald Oezelt +5
We study the full 3d static micromagnetic equations via a physics-informed neural network (PINN) ansatz for the continuous magnetization configuration. PINNs are inherently mesh-fr…
cond-mat.mtrl-sci2022★ 9 cited
Bridging Fidelities to Predict Nanoindentation Tip Radii Using Interpretable Deep Learning Models
Claus O. W. Trost, Stanislav Zak, Sebastian Schaffer +3
As the need for miniaturized structural and functional materials has increased,the need for precise materials characterizaton has also expanded. Nanoindentation is a popular method…