Neuromorphic Computing with Nanomagnets
Lead Research Organisation:
University of Sheffield
Department Name: Materials Science and Engineering
Abstract
The PhD project will focus on how we can use the unique properties of nanoscale magnetic materials to create "neuromorphic" computational devices - i.e. those with form and/or function that mimics that of the human brain. Creating such devices is expected to greatly enhance the capability and availability of artificial intelligence, both of which are currently limited by the constraints of conventional computer chip designs. The project will combine modelling and experimental work, to pioneer new approaches to creating neuromorphic devices.
Organisations
People |
ORCID iD |
| Ian Vidamour (Student) |
Publications
Ababei R
(2021)
Neuromorphic Computation With a Single Magnetic Domain Wall
Ababei RV
(2021)
Neuromorphic computation with a single magnetic domain wall.
in Scientific reports
Allwood D
(2023)
A perspective on physical reservoir computing with nanomagnetic devices
in Applied Physics Letters
Dawidek R
(2021)
Dynamically Driven Emergence in a Nanomagnetic System
in Advanced Functional Materials
Griffin D
(2023)
DebugNS: Novelty Search for Finding Bugs in Simulators
Vidamour I
(2022)
Reservoir Computing with Emergent Dynamics in a Magnetic Metamaterial
Vidamour I
(2023)
Reconfigurable reservoir computing in a magnetic metamaterial
in Communications Physics
Vidamour I
(2025)
RingSim-An agent-based approach for modeling mesoscopic magnetic nanowire networks
in Journal of Applied Physics
Studentship Projects
| Project Reference | Relationship | Related To | Start | End | Student Name |
|---|---|---|---|---|---|
| EP/R513313/1 | 30/09/2018 | 29/09/2023 | |||
| 2276907 | Studentship | EP/R513313/1 | 30/09/2019 | 29/03/2023 | Ian Vidamour |