Nanomagnetic Artificial Spin Systems for Neuromorphic Computing & Reconfigurable Magnonics

Text reads: Materials Science and Engineering Seminar Series

Event details

Wednesday 19 October 2022
Lecture Theatre 22, The University of Sheffield, Mappin Street, Sheffield, S1 3JD


Neuromorphic Computing& Magnonics with Nanomagnetic Arrays


As Moore's law breaksdown and the energy demands of computing skyrocket, we urgently need radicalnew solutions for information storage and processing.

Increasingly, researchersare trying to harness the dynamic interactions of complex physical systems toprovide this next-generation, low-energy processing. The vast microstate spaceof artificial spin ice (ASI) & related nanomagnetic arrays is both hugelypowerful for diverse processing and functionality, and highly challenging toexperimentally reconfigure into more than a handful of states. At ImperialCollege London, we work with Kilian Stenning, Will Branford & Alex Vanstoneon combining an expanding suite of ASI microstate control techniques withASI-based functional systems including reconfigurable magnonic crystals [1-4],neuromorphic computing [4,5] and nanomagnetic writing [6,7]. In this seminar wewill see how the physical dynamics of nanomagnetic systems can be harnessed forcomputing in ASI and Skyrmion systems across a range of physical phases andarray architectures.

 [1]Gartside, Jack C., et al. "Reconfigurable magnonic mode-hybridisation andspectral control in a bicomponent artificial spin ice." NatureCommunications 12.1 (2021): 1-9.

[2]Stenning, Kilian D., et al. "Magnonic bending, phase shifting and interferometryin a 2d reconfigurable nanodisk crystal." ACS nano 15.1 (2020): 674-685.

[3] Dion, T., et al."Observation and control of collective spin-wave mode hybridization inchevron arrays and in square, staircase, and brickwork artificial spinices." Physical Review Research 4.1 (2022): 013107.

[4] Gartside, Jack C., etal. "Reconfigurable Training and Reservoir Computing via Spin-WaveFingerprinting in an Artificial Spin-Vortex Ice." Nature Nanotechnology(2022)

[5] Lee, Oscar, Stenning,Kilian D, Gartside Jack C. et al. "Task-adaptive physical reservoircomputing." arXiv preprint arXiv:2209.06962 (2022).

[6] Gartside, Jack C., etal. "Realization of ground state in artificial kagome spin ice viatopological defect-driven magnetic writing." Nature nanotechnology 13.1(2018): 53-58.

[7] Stenning, Kilian D.,et al. "Low power continuous-wave all-optical magnetic switching inferromagnetic nanoarrays." arXiv preprint arXiv:2112.00697 (2021).


Jack C. Gartside is aRoyal Academy of Engineering Research Fellow at Imperial College London.Alongside collaborators in the Branford group at ICL, Kurebayashi group at UCLand Hayward/Vasilaki/Manneschi groups at Sheffield, Jack's researchinvestigates the crossovers between neuromorphic computing, reconfigurablemagnonics & geometric frustration in strongly-interacting nanomagnetic arraysincluding Artificial Spin Ice.

More information about Dr Carter-Gartside can be found here.

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