What is it about?
In our research, we present a new method for generating and precisely controlling intermediate magnetic states within heavy metal/ferromagnet systems. These states are engineered through the interplay of a strong in-plane magnetic field and an applied charge current. By introducing a small out-of-plane magnetic field, we provide a technique for fine-tuning these states, allowing us to modulate the system’s probabilistic response to varying current levels. Additionally, we demonstrate the implementation of a spiking neural network (SNN) with a tri-state spike timing-dependent plasticity (STDP) learning rule using our devices.
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Why is it important?
Our work advances the field of spintronics and informs neural system design. These intermediate states can serve as synaptic weights or neuronal activations, paving the way for multi-level neuromorphic computing architectures.
Perspectives
I am so happy because this is my first journal article in the field of spintronic devices. I hope this article will inspire others to use traditional heavy metal/ferromagnet bilayer devices to build applications in neural networks.
shun kong cheung
Hong Kong University of Science and Technology
Read the Original
This page is a summary of: Tunable intermediate states for neuromorphic computing with spintronic devices, Journal of Applied Physics, July 2024, American Institute of Physics,
DOI: 10.1063/5.0187647.
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