most citedExtracting local switching fields in permanent magnets using machine learning

36 citations · 36 across the 1 of their papers we have counts for

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1 paper

physics.comp-ph2019★ 36 cited

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…