Extracting local switching fields in permanent magnets using machine learning

21 Oct 2019Markus GusenbauerHarald OezeltJohann FischbacherAlexander KovacsPanpan ZhaoThomas George WoodcockThomas Schrefl

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-C, for example... (read more)

PDF Abstract

Code


No code implementations yet. Submit your code now

Tasks


Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.