no code implementations • 14 Jan 2024 • Luca Manneschi, Ian T. Vidamour, Kilian D. Stenning, Jack C. Gartside, Charles Swindells, Guru Venkat, David Griffin, Susan Stepney, Will R. Branford, Thomas Hayward, Matt O Ellis, Eleni Vasilaki
Physically implemented neural networks hold the potential to achieve the performance of deep learning models by exploiting the innate physical properties of devices as computational tools.
no code implementations • 19 Jan 2021 • Jack C. Gartside, Alex Vanstone, Troy Dion, Kilian D. Stenning, Daan M. Arroo, Hide Kurebayashi, Will R. Branford
Strongly-interacting nanomagnetic arrays are finding increasing use as model host systems for reconfigurable magnonics.
Mesoscale and Nanoscale Physics Applied Physics
