Room temperature ferromagnetic skyrmion-based artificial neuron device

Ravish Kumar Raj; Namita Bindal; Sandeep Soni; Brajesh Kumar Kaushik

doi:10.1117/12.2650443

15 March 2023 Room temperature ferromagnetic skyrmion-based artificial neuron device

Ravish Kumar Raj, Namita Bindal, Sandeep Soni, Brajesh Kumar Kaushik

Proceedings Volume 12430, Quantum Sensing and Nano Electronics and Photonics XIX; 1243016 (2023) https://doi.org/10.1117/12.2650443
Event: SPIE OPTO, 2023, San Francisco, California, United States

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Abstract

The development of energy-efficient and ultrafast neuromorphic computing based on the dynamics of the ferromagnetic (FM) skyrmion on the nanotrack has attained considerable interest. In this work, FM skyrmion based artificial neuron device is proposed. The perpendicular magnetic anisotropy (PMA) gradient is created on a thin film ferromagnetic (FM) layer by voltage control-PMA effect (VC-PMA). The anisotropy is directly co-related with the strength of 𝑚_𝑧 that affects the size of skyrmion meaning that in the region with larger PMA, the skyrmion size is smaller and hence, more energy. However, the skyrmions have the tendency to move in the direction to minimize the energy. Hence, the skyrmion move towards the lower PMA. This behavior of skyrmion on a nanotrack with PMA gradient corresponds to the leaky-integrate-fire (LIF) functionality of the neuron device. Hence, the suggested energy-efficient artificial neuron opens up the path for developing for energy-efficient neuromorphic computing.

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Ravish Kumar Raj, Namita Bindal, Sandeep Soni, and Brajesh Kumar Kaushik "Room temperature ferromagnetic skyrmion-based artificial neuron device", Proc. SPIE 12430, Quantum Sensing and Nano Electronics and Photonics XIX, 1243016 (15 March 2023); https://doi.org/10.1117/12.2650443

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