Matthew Ellis

Matthew Ellis

Lecturer in Machine Learning

University of Sheffield

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

  • MPhys in Theoretical Physics, 2011

    University of York

Recent Publications

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(2021). Neuromorphic computation with a single magnetic domain wall. Sci. Rep..

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(2021). Voltage-controlled superparamagnetic ensembles for low-power reservoir computing. APL.

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(2021). Spin-lattice dynamics model with angular momentum transfer for canonical and microcanonical ensembles. Phys. Rev. B.

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(2019). Role of longitudinal fluctuations in L10 FePt. Physical Review B.

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(2019). Anomalous damping dependence of the switching time in Fe/FePt bilayer recording media. Phys. Rev. B.

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