Research ArticleCONDENSED MATTER PHYSICS

Magnetic Hamiltonian parameter estimation using deep learning techniques

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Science Advances  25 Sep 2020:
Vol. 6, no. 39, eabb0872
DOI: 10.1126/sciadv.abb0872

Article Information

vol. 6 no. 39

PubMed: 
Online ISSN: 
History: 
  • Received for publication January 29, 2020
  • Accepted for publication August 10, 2020
  • .

Author Information

  1. H. Y. Kwon1,*,
  2. H. G. Yoon2,
  3. C. Lee2,
  4. G. Chen3,
  5. K. Liu3,4,
  6. A. K. Schmid5,
  7. Y. Z. Wu6,
  8. J. W. Choi1 and
  9. C. Won2,*
  1. 1Center for Spintronics, Korea Institute of Science and Technology, Seoul 02792, South Korea.
  2. 2Department of Physics, Kyung Hee University, Seoul 02447, South Korea.
  3. 3Department of Physics, University of California, Davis, Davis, CA 95616, USA.
  4. 4Physics Department, Georgetown University, Washington, DC 20057, USA.
  5. 5National Center for Electron Microscopy, Molecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
  6. 6Department of Physics, State Key Laboratory of Surface Physics and Advanced Materials Laboratory, Fudan University, Shanghai 200433, China.
  1. *Corresponding author. Email: cywon{at}khu.ac.kr (C.W.); soky572{at}gmail.com (H.Y.K.)

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