Experimental Demonstration of a Spin-Wave Lens Designed With Machine Learning-Reference-Cited by-同舟云学术

Experimental Demonstration of a Spin-Wave Lens Designed With Machine Learning

Published:2022 Issue: Volume:13 Page:1-5
ISSN:1949-307X
Container-title:IEEE Magnetics Letters
language:
Short-container-title:IEEE Magn. Lett.

Author:

Kiechle Martina¹^ORCID,Maucha Levente²,Ahrens Valentin¹,Dubs Carsten³^ORCID,Porod Wolfgang⁴^ORCID,Csaba Gyorgy²^ORCID,Becherer Markus¹^ORCID,Papp Adam²^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, Technical University of Munich, Munich, Germany

2. Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary

3. INNOVENT e.V. Technologieentwicklung, Jena, Germany

4. Department of Electrical Engineering, University of Notre Dame, Notre Dame, IN, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electronic, Optical and Magnetic Materials

Link

http://xplorestaging.ieee.org/ielx7/5165412/9656771/09903543.pdf?arnumber=9903543

Reference17 articles.

1. Nanoscale neural network using non-linear spin-wave interference

2. Pytorch: An imperative style, high-performance deep learning library;paszke;Adv Neural Inf Process Syst,2019

3. Frequency selective tunable spin wave channeling in the magnonic network

4. The design and verification of MuMax3

5. Realization of a spin-wave multiplexer

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