Abstract
Skyrmionic devices are promising candidates for energy efficient and highly integrated data storage and computing applications, owing to their small size, topological protection, and low drive current. In this abstract we propose novel spin orbit torque (SOT) controlled skyrmion device structures and their application in neuromorphic computing. We propose a spin orbit torque-driven SOT skyrmion magnetic tunnel junction (MTJ) device showing Leaky Integrate and Fire (LIF) neuron behaviour, and a SOT-controlled MTJ synaptic device in which the skyrmion size depends on the thickness of the free layer. Furthermore, we implement the spiking neural network and artificial neural network based on these devices for MNIST data classification.
Original language | English (US) |
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Title of host publication | 2022 IEEE International Conference on Emerging Electronics, ICEE 2022 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781665491853 |
DOIs | |
State | Published - 2022 |
Event | 2022 IEEE International Conference on Emerging Electronics, ICEE 2022 - Bangalore, India Duration: Dec 11 2022 → Dec 14 2022 |
Publication series
Name | 2022 IEEE International Conference on Emerging Electronics, ICEE 2022 |
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Conference
Conference | 2022 IEEE International Conference on Emerging Electronics, ICEE 2022 |
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Country/Territory | India |
City | Bangalore |
Period | 12/11/22 → 12/14/22 |
Bibliographical note
Publisher Copyright:© 2022 IEEE.
Keywords
- LIF neuron
- magnetic tunnel junction
- neuromorphic computing
- skyrmion device
- spin-orbit torque
ASJC Scopus subject areas
- Hardware and Architecture
- Electrical and Electronic Engineering
- Electronic, Optical and Magnetic Materials
- Surfaces, Coatings and Films
- Instrumentation