Domain wall dynamics in arrays of Permalloy rings
Stochastic behaviour has traditionally been a limiting factor in the development of nanomagnetic technology. However, it can also give rise to emergent behaviour that can help us to understand phenomena in frustrated systems. In particular, this emergent behaviour is useful for a novel form of neuromorphic computing called 'reservoir computing' which is highly efficient for time domain processing of signals. In this experiment, we plan to study the in-plane magnetic emergent behaviour in Ni80Fe20 ring arrays using grazing incidence small angle neutron scattering and off specular scattering. We will study different diameter (2 and 4 microns), widths (100, 200 and 300 nms) and lattice arrangements (hexagonal and Kagome) of rings which will significantly affect the emergent behaviour and thus give us the option of tailoring system emergent response for computing purposes. The experiment will form part of a wider effort to understand emergent behaviour in nanomagnetic arrays for reservoir computing applications (supported by the SpinENGINE HORIZON 2020 grant 861618). The results will allow us to gain unique insights into the population behaviour of interacting magnetic ring arrays.
The data is currently only available to download if you are a member of the proposal team.
The recommended format for citing this dataset in a research publication is in the following format:
G. Venkat; ALLWOOD Dan; HAYWARD Tom and STEINKE Nina-Juliane. (2021). Domain wall dynamics in arrays of Permalloy rings. Institut Laue-Langevin (ILL) doi:10.5291/ILL-DATA.5-54-352
This data is not yet public
This data is not yet public
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