Team Member
Prof Dan Allwood
Professor of Materials Physics
Dan joined the FMM group at the University of Sheffield in 2005, when he moved to Sheffield with an EPSRC Advanced Research Fellowship. His work has mainly focused on nanoscale magnetism but he has also studied bulk magnetic materials, magneto-optics, and 2D materials (transition metal dichalcogenides). His current research includes projects on neuromorphic computing with magnetic domain walls in nanowires, high-performance bulk magnetic materials (with VW), and reconfigurable materials.
He has co-founded FlashyScience, which produces online virtual experiments to support science and engineering students in schools, colleges and universities.
Related Projects
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Nd-Fe-B Permanent Magnets
This project seeks to improve the design of Nd-Fe-B-based permanent magnets for use in electric vehicles. We are using a combination of modelling and experimental techniques to develop bulk permanent magnets with improved performance. -
Additive layer manufacturing of magnetic materials
Enhancing magnetic properties through additive layer manufacturing offers exciting uses in applications such as sensors, motors and transformers 3D printing reduces waste and cost of manufacturing in comparison to traditional methods such as casting and machining bulk materials. A desktop… -
Controlling acoustic metamaterials
We are working in collaboration with the University of Exeter to combine Surface Acoustic Waves (SAWs) with Ferromagnetic Resonance (FMR) to create acoustic metamaterials. Surface acoustic wave devices have been extensively utilised in modern technology, being used as filters, sensors and for signal… -
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… -
From stochasticity to functionality
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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…
Related Publications
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Control of ferromagnetic properties of Ni80Fe20 thin films by voltage-induced oxidation
Author | J.M.Wood , C. I. Oseghale, O. Cespedes, M. Grell and D. A. Allwood
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Laser direct writing (LDW) of magnetic structures
Author | A. Alasadi , F. Claeyssens and D. A. Allwood
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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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Nanobugs as Drugs: Bacterial Derived Nanomagnets Enhance Tumor Targeting and Oncolytic Activity of HSV‐1 Virus
Author | F. H. N. Howard, H. Al‐Janabi, P. Patel, K. Cox, E. Smith, J. Vadakekolathu, A. G. Pockley, J. Conner, J. F. Nohl, D. A. Allwood, C. Collado‐Rojas, A. Kennerley, S. Staniland, and M. Muthana
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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
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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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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