Biography
Dr Matthew Ellis is a Lecturer in Machine Learning and member of the Machine Learning Group at the Department of Computer Science at the University of Sheffield. My research interests are in developing energy efficient devices based on spin-electronic devices and reservoir computing. I have previously worked with Prof. Stefano Sanvito at Trinity College Dublin and Prof. Roy Chantrell at the University of York.
Interests
- Neuromorphic Spintronics
- Reservoir Computing
- Artificial Intelligence
- Computational Magnetism
Education
-
PhD in Physics, 2015
University of York
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MPhys in Theoretical Physics, 2011
University of York
Recent Posts
Recent Articles
Due to the pandemic a couple of my projects ended up being a little later than planned so in the last few months we have had a couple more articles published on our neuromorphic and reservoir computing work.
Upcoming Papers
It was nice early Christmas present that we heard that two of our recent submissions had been accepted. The first was invited article in Frontiers in Applied Mathematics and Statistics where we have been looking at hierarchical (or deep) echo state networks and how we can tune them to exhibit multiple timescales.
New Year
Happy new year everyone!
Moving into 2021 I have started a small refresh of this website. I have updated the publications and added a new post about our upcoming papers. 2020 was a strange year of lockdowns and lots of working from home, 2021 is looking similar so far but fingers crossed for a productive and interesting year.
Featured Publications
Dynamically-Driven Emergence in a Nanomagnetic System
Emergent behaviors occur when simple interactions between a system’s constituent elements produce properties that the individual …
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 …
Recent Publications
Quickly discover relevant content by filtering publications.
(2021).
Neuromorphic computation with a single magnetic domain wall.
Sci. Rep..
(2021).
Spin-lattice dynamics model with angular momentum transfer for canonical and microcanonical ensembles.
Phys. Rev. B.
(2019).
Role of longitudinal fluctuations in L10 FePt.
Physical Review B.
(2019).
Anomalous damping dependence of the switching time in Fe/FePt bilayer recording media.
Phys. Rev. B.