activity
20162026
most citedNeuromorphic Overparameterisation and Few-Shot Learning in Multilayer Physical Neural Networks

33 citations · 51 across the 11 of their papers we have counts for

collaborators

13 papers

physics.optics2026

Enhanced Magneto-Optical Kerr Effect in Nano-Magnetic Metamaterials with Near-Perfect Coherent Absorption

Xiaofei Xiao, Tingjun Zheng, Alex Vanstone +6

The ability to control magnetic systems without external magnetic fields has attracted attention recently, with all-optical magnetic switching showing increasing promise. Gaining f…

cond-mat.mes-hall2026

Magnetoelastic coupling in stripe-domain states of yttrium iron garnet

Nimisha Arora, Daniel Prestwood, Takashi Kikkawa +4

We study magnetoelastic coupling in stripe-domain magnetic states of -thick YIG thin films grown on a GGG substrate. Broadband ferromagnetic resonance reveals low-f…

cond-mat.dis-nn2026

Responsive Disorder in a Metal-Organic Framework Enables Solid-State Reservoir Computing

Guy Greenbaum, Will R. Branford, Andrew L. Goodwin

Complex systems with nonlinear response mechanisms can be applied as reservoir computers for energy-efficient machine learning tasks. Historically explored at the macro- and meso-s…

cond-mat.mtrl-sci2025★ 1 cited

Phase engineering of 1T and 1T CrS2 and Cr2S3 by MOCVD

Haoyu Bai, Gareth R. M Tainton, Mauro Och +21

Layered Cr-chalcogenides compounds offer a rich range of crystal phases with different magnetic properties some of which have been predicted only but not experimentally verified. H…

cond-mat.mtrl-sci2025★ 2 cited

Spin wave resonance in yttrium iron garnet stripe domains

Daniel Prestwood, Chris E. A. Barker, Kilian D. Stenning +15

We study a thin film yttrium iron garnet sample that exhibits magnetic stripe domains due to a small perpendicular magnetic anisotropy. Using wide-field magneto-optic Kerr effect m…

cond-mat.dis-nn2025

Magnetic vortex writing and local reversal seeding in artificial spin-vortex ice via all-optical and surface-probe control

Holly Holder, Jack C. Gartside, Alex Vanstone +8

Artificial spin-vortex ice ('ASVI') is a reconfigurable nanomagnetic metamaterial consisting of magnetic nanoislands tailored to support both Ising macrospin and vortex textures. A…

cond-mat.mes-hall2025★ 1 cited

Synthetic spin-orbit coupling in superconductor-semiconductor hybrid nanowires with micromagnet arrays

M. P. Hynes, D. Burke, K. Ganesh +9

Spin-orbit interaction accounts for the coupling of momentum and spin degrees of freedom of electrons and holes in semiconductor materials. In quantum information processing, it al…

cs.CE2024

PRCpy: A Python Package for Processing of Physical Reservoir Computing

Harry Youel, Daniel Prestwood, Oscar Lee +6

Physical reservoir computing (PRC) is a computing framework that harnesses the intrinsic dynamics of physical systems for computation. It offers a promising energy-efficient altern…

cond-mat.dis-nn2024

Few-Shot Neuromorphic Vision in a Nonlinear Photonic Network Laser

Wai Kit Ng, Jakub Dranczewski, Anna Fischer +11

With the growing prevalence of AI, demand increases for hardware that mimics the brain's ability to extract structure from limited data. In the retina, ganglion cells detect featur…

cs.LG2024★ 1 cited

Noise-Aware Training of Neuromorphic Dynamic Device Networks

Luca Manneschi, Ian T. Vidamour, Kilian D. Stenning +13

Physical computing has the potential to enable widespread embodied intelligence by leveraging the intrinsic dynamics of complex systems for efficient sensing, processing, and inter…

cond-mat.mes-hall2022★ 33 cited

Neuromorphic Overparameterisation and Few-Shot Learning in Multilayer Physical Neural Networks

Kilian D. Stenning, Jack C. Gartside, Luca Manneschi +10

Physical neuromorphic computing, exploiting the complex dynamics of physical systems, has seen rapid advancements in sophistication and performance. Physical reservoir computing, a…

cond-mat.mes-hall2021★ 2 cited

Observation and control of collective spin-wave mode-hybridisation in chevron arrays and square, staircase and brickwork artificial spin ices

T Dion, J. C. Gartside, A. Vanstone +4

Dipolar magnon-magnon coupling has long been predicted in nano-patterned artificial spin systems. However, observation of such phenomena and related collective spin-wave signatures…

cond-mat.mes-hall2016★ 11 cited

Dynamic dependence to domain wall propagation through artificial spin ice

D. M. Burn, M. Chadha, W. R. Branford

Domain wall propagation dynamics have been studied in nanostructured artificial kagome spin ice structures. A stripline circuit has been used to provide localised pulsed magnetic f…