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

Publications: Contribution to journalArticlePeer Reviewed

Original languageEnglish
Article number110586
Number of pages20
JournalJournal of Computational Physics
Volume444
DOIs
Publication statusPublished - 1 Nov 2021

Austrian Fields of Science 2012

  • 101014 Numerical mathematics
  • 103043 Computational physics
  • 102019 Machine learning

Keywords

  • Low-rank kernel approximation
  • Low-rank kernel principal component analysis
  • Machine learning
  • Micromagnetics
  • Nonlinear model order reduction
  • Nystroem approximation
  • INTEGRATION

Fingerprint

Dive into the research topics of 'Prediction of magnetization dynamics in a reduced dimensional feature space setting utilizing a low-rank kernel method'. Together they form a unique fingerprint.

Cite this