activity
20212026
most citedNeuromorphic Overparameterisation and Few-Shot Learning in Multilayer Physical Neural Networks

33 citations · 39 across the 10 of their papers we have counts for

collaborators

11 papers

math.AP2026

Quantized slow blowup dynamics for the energy-critical Schrödinger map flow

Jacek Jendrej, Jitao Xu, Xu Yuan +1

We study the Cauchy problem for the energy-critical Schrödinger map into the 2-sphere: \[ \partial_{t}u = u\timesΔu, \quad (t,x)\in\mathbb{R}^{1+2}, \quad u(t,x)\in\mathbb{S}^2 \]…

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.mes-hall2026

Near-zero effective magnetization enabling ultra-low threshold currents in spin Hall micro-oscillators

A. Koujok, H. Kurebayashi, K. Yamamoto +6

Reducing the electrical current required to excite magnetization dynamics is a central challenge, e.g. for energy-efficient magnonic devices or oscillator-based computing. Spin Hal…

cond-mat.mes-hall2026

The 2026 Skyrmionics Roadmap

Sabri Koraltan, Claas Abert, Manfred Albrecht +64

Magnetic skyrmions and related topological spin textures have emerged as a central topic in condensed-matter physics, combining fundamental significance with potential for transfor…

cond-mat.mes-hall2026

Dynamical stability by spin transfer in nearly isotropic magnets

Hidekazu Kurebayashi, Joseph Barker, Takumi Yamazaki +9

Spin transfer torques (STTs) control magnetisation by electric currents, enabling a range of nano-scale spintronic applications. They can destabilise the equilibrium magnetisation…

cond-mat.mes-hall2025★ 1 cited

Metrics for spin-based computing

Hidekazu Kurebayashi, Giovanni Finocchio, Karin Everschor-Sitte +10

Spin-based computing is emerging as a powerful approach for energy-efficient and high-performance solutions to future data processing hardware. Spintronic devices function by elect…

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…

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.mtrl-sci2023★ 1 cited

Spin-glass states generated in a van der Waals magnet by alkali-ion intercalation

S. Khan, E. S. Y. Aw, L. A. V. Nagle-Cocco +16

Tuning magnetic properties in layered van der Waals (vdW) materials has captured a significant attention due to the efficient control of ground-states by heterostructuring and exte…

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…