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International Conference on Unconventional Computation and Natural Computation

UCNC 2021: Unconventional Computation and Natural Computation pp 19–34Cite as

Computing with Magnetic Thin Films: Using Film Geometry to Improve Dynamics

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12984))

Abstract

Inspired by the nonlinear dynamics of neural networks, new unconventional computing hardware has emerged under the name of physical reservoir computing. In this paradigm, an input-driven dynamical system (the reservoir) is exploited and trained to perform computational tasks. Recent spintronic thin-film reservoirs show state-of-the-art performances despite simplicity in their design. Here, we explore film geometry and show that simple changes to film shape and input location can lead to greater memory and improved performance across various time-series tasks.

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Notes

  1. 1.

    Accessible from: http://soma.ece.mcmaster.ca/ipix/ (2021).

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Acknowledgments

Thanks to Richard Evans and Sarah Jenkins for help with the VAMPIRE simulator. All experiments were carried out using the Viking Cluster, a high performance compute facility provided by the University of York. This work was funded by the SpInspired project, EPSRC grant EP/R032823/1.

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Authors and Affiliations

  1. Department of Computer Science, University of York, York, UK

    Matthew Dale, Simon O’Keefe & Susan Stepney

  2. Department of Electronic Engineering, University of York, York, UK

    Martin A. Trefzer

  3. York Cross-disciplinary Centre for Systems Analysis, University of York, York, UK

    Matthew Dale, Simon O’Keefe, Angelika Sebald & Susan Stepney

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  1. Matthew Dale
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  2. Simon O’Keefe
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  3. Angelika Sebald
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  4. Susan Stepney
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  5. Martin A. Trefzer
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Corresponding author

Correspondence to Susan Stepney .

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Editors and Affiliations

  1. TU Eindhoven, Eindhoven, The Netherlands

    Irina Kostitsyna

  2. Aalto University, Espoo, Finland

    Pekka Orponen

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Dale, M., O’Keefe, S., Sebald, A., Stepney, S., Trefzer, M.A. (2021). Computing with Magnetic Thin Films: Using Film Geometry to Improve Dynamics. In: Kostitsyna, I., Orponen, P. (eds) Unconventional Computation and Natural Computation. UCNC 2021. Lecture Notes in Computer Science(), vol 12984. Springer, Cham. https://doi.org/10.1007/978-3-030-87993-8_2

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  • DOI: https://doi.org/10.1007/978-3-030-87993-8_2

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