Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Artificial Neuron Based on the Bloch-Point Domain Wall in Ferromagnetic Nanowires

Version 1 : Received: 13 March 2024 / Approved: 14 March 2024 / Online: 14 March 2024 (09:36:07 CET)

How to cite: Cruz, C.S.; Caso, D.; Aliev, F.G. Artificial Neuron Based on the Bloch-Point Domain Wall in Ferromagnetic Nanowires. Preprints 2024, 2024030827. https://doi.org/10.20944/preprints202403.0827.v1 Cruz, C.S.; Caso, D.; Aliev, F.G. Artificial Neuron Based on the Bloch-Point Domain Wall in Ferromagnetic Nanowires. Preprints 2024, 2024030827. https://doi.org/10.20944/preprints202403.0827.v1

Abstract

Nanomagnetism and spintronics are currently active areas of research, with one of the main goals being the creation of low-energy-consuming magnetic memories based on nanomagnet switching. These types of devices could also be implemented in neuromorphic computing by crafting artificial neurons (ANs) that emulate the characteristics of biological neurons, through the implementation of neuron models such as the widely used leaky integrate-and-fire (LIF) with a refractory period. In this study, we have carried out numerical simulations of a 120 nm diameter, 250 nm length ferromagnetic nanowire (NW) with the aim of exploring the design of an artificial neuron based on the creation and destruction of a Bloch-point domain wall. To replicate signal integration, we applied pulsed trains of spin-currents to the opposite faces of the ferromagnetic NW. These pulsed currents (previously studied only in the continuous form) are responsible for inducing transitions between the stable single vortex (SV) state to the metastable Bloch point domain wall (BP-DW) state. To ensure the system exhibits the leak and refractory properties, the NW was placed in an homogeneous magnetic field of the order of mT in the axial direction. The suggested configuration fulfills the requirements and characteristics of a biological neuron, potentially leading to the future creation of Artificial Neural Networks (ANNs) based on reversible changes in the topology of magnetic NWs.

Keywords

Nanowire; Bloch Points; Artificial Neuron

Subject

Physical Sciences, Condensed Matter Physics

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.