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

Title
Prediction of magnetization dynamics in a reduced dimensional feature space setting utilizing a low-rank kernel method
Authors
Keywords
Nonlinear model order reduction, Low-rank kernel principal component analysis, Nystroem approximation, Low-rank kernel approximation, Machine learning, Micromagnetics
Journal
JOURNAL OF COMPUTATIONAL PHYSICS
Volume 444, Issue -, Pages 110586
Publisher
Elsevier BV
Online
2021-07-26
DOI
10.1016/j.jcp.2021.110586

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