75 citations · 168 across the 7 of their papers we have counts for
7 papers
Machine learning using magnetic stochastic synapses
Matthew O. A. Ellis, Alex Welbourne, Stephan J. Kyle +4
The impressive performance of artificial neural networks has come at the cost of high energy usage and CO emissions. Unconventional computing architectures, with magnetic syste…
A perspective on physical reservoir computing with nanomagnetic devices
Dan A Allwood, Matthew O A Ellis, David Griffin +11
Neural networks have revolutionized the area of artificial intelligence and introduced transformative applications to almost every scientific field and industry. However, this succ…
Reconfigurable Reservoir Computing in a Magnetic Metamaterial
Ian Vidamour, Charles Swindells, Guru Venkat +10
In-materia reservoir computing (RC) leverages the intrinsic physical responses of functional materials to perform complex computational tasks. Magnetic metamaterials are exciting c…
Quantifying the Computational Capability of a Nanomagnetic Reservoir Computing Platform with Emergent Magnetization Dynamics
Ian T Vidamour, Matthew O A Ellis, David Griffin +12
Devices based on arrays of interconnected magnetic nano-rings with emergent magnetization dynamics have recently been proposed for use in reservoir computing applications, but for…
Manipulating ultracold atoms with a reconfigurable nanomagnetic system of domain walls
Adam D. West, Kevin J. Weatherill, Thomas J. Hayward +6
The divide between the realms of atomic-scale quantum particles and lithographically-defined nanostructures is rapidly being bridged. Hybrid quantum systems comprising ultracold ga…
Nanomagnetic engineering of the properties of domain wall atom traps
Thomas J. Hayward, Adam D. West, Kevin J. Weatherill +3
We have used the results of micromagnetic simulations to investigate the effects of nanowire geometry and domain wall magnetization structure on the characteristic parameters of ma…
A simple model for calculating magnetic nanowire domain wall fringing fields
Adam West, Thomas Hayward, Kevin Weatherill +3
We present a new approach to calculating magnetic fringing fields from head-to-head type domain walls in planar magnetic nanowires. In contrast to calculations based on micromagnet…