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Quantifying the computational capability of a nanomagnetic reservoir computing platform with emergent magnetisation dynamics.

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第一作者： I T,Vidamour

第一单位： Department of Materials Science and Engineering, University of Sheffield, Sheffield S1 3JD, United Kingdom.

作者： I T,Vidamour ^[1] ; M O A,Ellis ^[2] ; D,Griffin ^[3] ; G,Venkat ^[1] ; C,Swindells ^[1] ; R W S,Dawidek ^[1] ; T J,Broomhall ^[1] ; N J,Steinke ^[4] ; J F K,Cooper ^[4] ; F,Maccherozzi ^[5] ; S S,Dhesi ^[5] ; S,Stepney ^[3] ; E,Vasilaki ^[6] ; D A,Allwood ^[1] ; T J,Hayward ^[1]

作者单位： Department of Materials Science and Engineering, University of Sheffield, Sheffield S1 3JD, United Kingdom. ^[1] Department of Computer Science, University of Sheffield, Sheffield S1 4DP, United Kingdom. ^[2] Department of Computer Science, University of York, York YO10 5GH, United Kingdom. ^[3] ISIS Neutron and Muon Source, Rutherford Appleton Lab, Didcot, OX11 0QX, United Kingdom. ^[4] Diamond Light Source, Harwell Science and Innovation Campus, Didcot, Oxfordshire OX11 0DE, United Kingdom. ^[5] Department of Computer Science, University of Sheffield, Sheffield S1 4DP, United Kingdom.;Institute of Neuroinformatics, University of Zurich and ETH Zurich, 8057 Zürich, Switzerland. ^[6]

关键词 domain wall devices machine learning nanomagnetism patterned magnetic films reservoir computing

DOI 10.1088/1361-6528/ac87b5

PMID 35940063

发布时间 2022-09-12

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