Research Themes
Spintronic Computing @ Sheffield
FMM works on a range of projects that harness the rich range properties of patterned nanoscale magnetic networks to store and process information.
Our projects include the development of devices for the kinds of deterministic digital computation that are common to how most of today’s computers work but, increasingly, also those that exploit complex and stochastic magnetic behaviours at the nanoscale for unconventional computing and neuromorphic paradigms.
Systems we are developing include synapses and neurons for use in feed-forward neural networks, reservoir computing platforms (based upon recurrent neural networks) and probabilistic computing devices. For these projects, we generally work with colleagues from Computer Science (as part of Spintronic Computing @ Sheffield multidisciplinary collaboration) and other Engineering disciplines to increase our understanding and broaden the projects’ reach.
Projects
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MARCH
MARCH: Magnetic Architectures for Reservoir Computing Hardware MARCH aims to investigate design and performance possibilities of in materio reservoir computing (RC), a form of unconventional computation that is particularly well-suited to handling complex time-varying data. The project… -
Emergent Domain Wall Behaviour In Interconnected Nano Ring Arrays
This project investigates emergence arising from domain wall interactions at junctions between connected nano rings. The DW population of arrays can be analytically modelled against the probability of interactions occurring. Methods to measure the magnetisation of the array (itself linked to domain… -
SpinENGINE
SpinENGINE is an EU-funded programme that brings together leading research groups from across Europe to explore massively-parallel computing frameworks based on the emergent behaviour of nanomagnetic ensembles. Project partners include researchers from Norwegian University of Science and Technology…
Publications
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Neuromorphic computation with a single magnetic domain wall
Author | R. V. Ababei, M. O. A. Ellis, I. T. Vidamour, D. S. Devadasan, D. A. Allwood, E. Vasilaki and T. J. Hayward
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Selective Excitation of Localized Spin-Wave Modes by Optically Pumped Surface Acoustic Waves (both projects)
Author | C. L. Chang, R. R. Tamming, T. J. Broomhall, J. Janusonis, P. W. Fry, R. I. Tobey, and T. J. Hayward
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Voltage-controlled superparamagnetic ensembles for low-power reservoir computing
Author | A. Welbourne, A. L. R. Levy, M. O. A. Ellis, H. Chen, M. J. Thompson, E. Vasilaki, D. A. Allwood, and T. J. Hayward
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Artificial multiferroic structures using soft magnetostrictive bilayers on Pb (Mg 1/3 Nb 2/3)-PbTiO 3
Author | E Miskevich , F Alshammari, WG Yang, J Sharp, S Baco, Z Leong, Q Abbas and N Morley
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From stochasticity to functionality: harnessing magnetic domain walls for probabilistic and neuromorphic computing
Author | T. J. Hayward, I. T. Vidamour, M. O. A. Ellis, A. Welbourne, R. W. S. Dawidek, T. J. Broomhall, M. Chambard, M. Drouhin, A. M. Keogh, A. Mullen, S. J. Kyle, M. Al Mamoori, P. W. Fry, N.-J. Steinke, J. F. K. Cooper, F. Maccherozzi, S. Dhesi, L. Aballe, J. P
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Dynamically driven emergence in a nanomagnetic system
Author | R. W. Dawidek, T. J. Hayward, I. T. Vidamour, T. J. Broomhall, G. Venkat, M. Al Mamoori, A. Mullen, S. J. Kyle, P. W. Fry, N.‐J. Steinke, J. F. K. Cooper, F. Maccherozzi, S. S. Dhesi, L. Aballe, M. Foerster, J. Prat, E. Vasilaki, M. O. A. Ellis and D. A. A