3 citations · 5 across the 5 of their papers we have counts for
6 papers
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: \[ \partial_{t}u = u\timesΔu, \quad (t,x)\in\mathbb{R}^{1+2}, \quad u(t,x)\in\mathbb{S}^2 \]…
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…
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…
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…
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…
Task-adaptive physical reservoir computing
Oscar Lee, Tianyi Wei, Kilian D. Stenning +11
Reservoir computing is a neuromorphic architecture that potentially offers viable solutions to the growing energy costs of machine learning. In software-based machine learning, neu…