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Technology Research Association of Magnetic Materials for High-Efficiency Motors

Japan

2 papers here69 citations across 2
fields
  • cond-mat.mtrl-sci2
ROR 01he8zy72OpenAlex

affiliations via OpenAlex

most citedConjugate gradient methods in micromagnetics

54 citations

researchers with a paper here
  • A. Kovacs2 · h 16
  • H. Oezelt2 · h 17
  • L. Exl2 · h 18
  • T. Schrefl2 profiles2 · h 55
  • T. Shoji2 · h 22
  • A. Kato1 · h 39
  • A. Manabe1 · h 2
  • D. Suess1 · h 40
  • G. Hrkac1 · h 32
  • J. Fidler1 · h 44
  • J. Fischbacher1 · h 19
  • K. Yokota1 · h 17
collaborating institutions
  • Toyota Motor Corporation (Japan)JP2 papers
  • Universität für Weiterbildung KremsAT2 papers
  • University of ViennaAT2 papers
  • TU WienAT1 paper
  • University of ExeterGB1 paper
  • Wolfgang Pauli InstituteAT1 paper

2 papers

cond-mat.mtrl-sci2018★ 15 cited

Magnetic microstructure machine learning analysis

Lukas Exl, Johann Fischbacher, Alexander Kovacs +6

We use a machine learning approach to identify the importance of microstructure characteristics in causing magnetization reversal in ideally structured large-grained Nd2​Fe$_{14}…

cond-mat.mtrl-sci2017★ 54 cited

Conjugate gradient methods in micromagnetics

J. Fischbacher, A. Kovacs, H. Oezelt +9

Conjugate gradient methods for energy minimization in micromagnetics are compared. When the step length in the line search is controlled, conjugate gradient techniques are a fast a…

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