Please use this identifier to cite or link to this item:
Authors: Chumak, Andrii V.
Kabos, Pavel
Wu, Mingzhong
Abert, Claas
Adelmann, Christoph
Adeyeye, Adekunle
Åkerman, J.
Aliev, Farkhad G.
Anane, A.
Awad, A.
Back, Christian
Barman, A.
Bauer, Gerrit
Becherer, Markus
Beginin, Evgeny
Bittencourt, V. A. S. V.
Blanter, Yaroslav
Bortolotti, P.
Boventer, I.
Bozhko, Dmytro
Bunyaev, S. A.
Carmiggelt, J. J.
Cheenikundil, R. R.
Ciubotaru, Florin
Cotofana, S.
Csaba, G.
Dobrovolskiy, O. V.
Dubs, Carsten
Elyasi, M.
Fripp, K. G.
Fulara, H.
Golovchanskiy, Igor
Gonzalez-Ballestero, Carlos
Graczyk, Piotr
Grudler, Dirk
Gruszecki, Pawel
Gubbiotti, Gianluca
Guslienko, K.
Haldar, Arabinda
Hamdioui, S.
Hertel, Riccardo
Hillebrands, B.
Hioki, T.
Houshang, A.
Hu, C.-M.
Huebl, H.
Huth, M.
Iacocca, Ezio
Jungfleisch, Benjamin M.
Kakazei, G. N.
Khitun, A.
Khymyn, R.
Kikkawa, T.
Kläui, Mathias
Klein, O.
Kłos, Jarosław W.
Knauer, Sebastian
Koraltan, Sabri
Kostylev, M.
Krawczyk, Maciej
Krivorotov, I. N.
Kruglyak, Volodymyr
Lachance-Quirion, Dany
Ladak, S.
Lebrun, Romain
Li, Y.
Lindner, M.
Macêdo, Rair
Mayr, Sina
Melkov, G. A.
Mieszczak, Szymon
Nakamura, Yasunobu
Nembach, H. T.
Nikitin, Andrey
Nikitov, S. A.
Novosad, V.
Otálora, J. A.
Otani, Y.
Papp, A.
Pigeau, B.
Pirro, Philipp
Porod, Wolfgang
Porrati, F.
Qin, H.
Rana, Bivas
Reimann, T.
Riente, Fabrizio
Romero-Isart, Oriol
Ross, A.
Sadovnikov, A. V.
Safin, A. R.
Saitoh, E.
Schmidt, Georg
Schultheiss, H.
Schultheiss, K.
Serga, A . A.
Sharma, Sanchar
Shaw, J. M.
Suess, Dieter
Surzhenko, Oleksii
Szulc, Krzysztof
Taniguchi, Takuya
Urbánek, M.
Usami, K.
Ustinov, Alexey
van der Sar, T.
van Dijken, Sebastiaan
Vasyuchka, Vitaliy
Verba, R.
Violo Kusminskiy, S.
Wang, Qi
Weides, Martin
Weiler, M.
Wintz, Sebastian
Wolski, S. P.
Zhang, X.
Title: Advances in magnetics roadmap on spin-wave computing
Online publication date: 16-Jan-2023
Year of first publication: 2022
Language: english
Abstract: Magnonics addresses the physical properties of spin waves and utilizes them for data processing. Scalability down to atomic dimensions, operation in the GHz-to-THz frequency range, utilization of nonlinear and nonreciprocal phenomena, and compatibility with CMOS are just a few of many advantages offered by magnons. Although magnonics is still primarily positioned in the academic domain, the scientific and technological challenges of the field are being extensively investigated, and many proof-of-concept prototypes have already been realized in laboratories. This roadmap is a product of the collective work of many authors, which covers versatile spin-wave computing approaches, conceptual building blocks, and underlying physical phenomena. In particular, the roadmap discusses the computation operations with the Boolean digital data, unconventional approaches, such as neuromorphic computing, and the progress toward magnon-based quantum computing. This article is organized as a collection of sub-sections grouped into seven large thematic sections. Each sub-section is prepared by one or a group of authors and concludes with a brief description of current challenges and the outlook of further development for each research direction.
DDC: 530 Physik
530 Physics
Institution: Johannes Gutenberg-Universität Mainz
Department: FB 08 Physik, Mathematik u. Informatik
Place: Mainz
Version: Published version
Publication type: Zeitschriftenaufsatz
Document type specification: Scientific article
License: CC BY
Information on rights of use:
Journal: IEEE transactions on magnetics
Pages or article number: 0800172
Publisher: IEEE
Publisher place: New York, NY
Issue date: 2022
ISSN: 0018-9464
Publisher DOI: 10.1109/TMAG.2022.3149664
Appears in collections:JGU-Publikationen

Files in This Item:
  File Description SizeFormat
advances_in_magnetics_roadmap-20230112103957494.pdf15.21 MBAdobe PDFView/Open