Publications

Neuromorphic computation with a single magnetic domain wall

Machine learning techniques are commonly used to model complex relationships but implementations on digital hardware are relatively …

Razvan-V. Ababei, Matthew O. A. Ellis, Ian T. Vidamour, Dhilan S. Devadasan, Dan A. Allwood, Eleni Vasilaki, Thomas J. Hayward

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Voltage-controlled superparamagnetic ensembles for low-power reservoir computing

We propose thermally driven, voltage-controlled superparamagnetic ensembles as low-energy platforms for hardware-based reservoir …

Alexander Welbourne, Axel L. R. Levy, Matthew O. A. Ellis, H. Chen, M. Thompson, Eleni Vasilaki, Dan. A. Allwood, Thomas J. Hayward

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Dynamically-Driven Emergence in a Nanomagnetic System

Emergent behaviors occur when simple interactions between a system’s constituent elements produce properties that the individual …

Richard W. Dawidek, Thomas J. Hayward, Ian T. Vidamour, Thomas J. Broomhall, Guru Venkat, Mohanad Al Mamoori, Aidan Mullen, Stephan J. Kyle, Paul W. Fry, Nina-Juliane Steinke, Joshaniel F. K. Cooper, Francesco Maccherozzi, Sarnjeet S. Dhesi, Lucia Aballe, Michael Foerster, Jordi Prat, Eleni Vasilaki, Matthew O. A. Ellis, Dan A. Allwood

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Exploiting Multiple Timescales in Hierarchical Echo State Networks

Echo state networks (ESNs) are a powerful form of reservoir computing that only require training of linear output weights while the …

Luca Manneschi, Matthew O. A. Ellis, Guido Gigante, Andrew C. Lin, Paolo Del Guidice, Eleni Vasilaki

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Spin-lattice dynamics model with angular momentum transfer for canonical and microcanonical ensembles

A unified model of molecular and atomistic spin dynamics is presented enabling simulations both in microcanonical and canonical ensembles without the necessity of additional phenomenological spin damping. Transfer of energy and angular momentum between the lattice and the spin systems is achieved by a phenomenological coupling term representing the spin-orbit interaction.

Mara Strungaru, Matthew O. A. Ellis, Sergiu Ruta, Oksana Chubykalo-Fesenko, Richard F. L. Evans, Roy W. Chantrell

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Role of longitudinal fluctuations in L10 FePt

L10 FePt is a technologically important material for a range of novel data storage applications. In the ordered FePt structure the …

Matthew O A Ellis, Mario Galante, Stefano Sanvito

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Atomistic spin model simulations of magnetic nanomaterials

Atomistic modelling of magnetic materials provides unprecedented detail about the underlying physical processes that govern their …

R F L Evans, W J Fan, P Chureemart, T. A. Ostler, M O A Ellis, R W Chantrell

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Classical spin model of the relaxation dynamics of rare-earth doped permalloy

Matthew O. A. Ellis, Thomas A. Ostler, Roy W. Chantrell

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Neuromorphic computation with a single magnetic domain wall

Voltage-controlled superparamagnetic ensembles for low-power reservoir computing

Dynamically-Driven Emergence in a Nanomagnetic System

Exploiting Multiple Timescales in Hierarchical Echo State Networks

Spin-lattice dynamics model with angular momentum transfer for canonical and microcanonical ensembles

Role of longitudinal fluctuations in L10 FePt

Nontrivial spatial dependence of the spin torques in L10 FePt-based tunneling junctions

Anomalous damping dependence of the switching time in Fe/FePt bilayer recording media

Multiscale modeling of current-induced switching in magnetic tunnel junctions using ab initio spin-transfer torques

Manifestation of higher-order inter-granular exchange in magnetic recording media

All-optical switching in granular ferromagnets caused by magnetic circular dichroism

The Landau–Lifshitz equation in atomistic models

Switching times of nanoscale FePt: Finite size effects on the linear reversal mechanism

Temperature-dependent ferromagnetic resonance via the Landau-Lifshitz-Bloch equation: Application to FePt

Atomistic spin model simulations of magnetic nanomaterials

Classical spin model of the relaxation dynamics of rare-earth doped permalloy