110 citations · 582 across the 25 of their papers we have counts for
4 papers · 1 filter
Extracting local switching fields in permanent magnets using machine learning
Markus Gusenbauer, Harald Oezelt, Johann Fischbacher +4
Microstructural features play an important role for the quality of permanent magnets. The coercivity is greatly influenced by crystallographic defects, which is well known for MnAl…
Computational Design of the Rare-Earth Reduced Permanent Magnets
A. Kovacs, J. Fischbacher, M. Gusenbauer +6
Multiscale simulation is a key research tool for the quest for new permanent magnets. Starting with first principles methods, a sequence of simulation methods can be applied to cal…
Micromagnetics of rare-earth efficient permanent magnets
Johann Fischbacher, Alexander Kovacs, Markus Gusenbauer +4
The development of permanent magnets containing less or no rare-earth elements is linked to profound knowledge of the coercivity mechanism. Prerequisites for a promising permanent…
Learning magnetization dynamics
Alexander Kovacs, Johann Fischbacher, Harald Oezelt +5
Deep neural networks are used to model the magnetization dynamics in magnetic thin film elements. The magnetic states of a thin film element can be represented in a low dimensional…