Benchmarking Inverse Rashba-Edelstein Magnetoelectric Devices for Neuromorphic Computing
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💻 cs.ET
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cellulareffectsinversemagnetoelectricnetworkneuralrashba-edelsteinspintronic
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We propose a new design for a cellular neural network with spintronic neurons and CMOS-based synapses. Harnessing the magnetoelectric and inverse Rashba-Edelstein effects allows natural emulation of the behavior of an ideal cellular network. This combination of effects offers an increase in speed and efficiency over other spintronic neural networks. A rigorous performance analysis via simulation is provided.
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Cited by 1 Pith paper
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Benchmarking Physical Performance of Neural Inference Circuits
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