Publication | Closed Access
Ultra-fast logic devices using artificial “neurons” based on antiferromagnetic pulse generators
54
Citations
28
References
2018
Year
EngineeringNeural Networks (Machine Learning)Artificial “ NeuronsUltra-fast Logic DevicesNeurochipUltrafast MagnetismSocial SciencesSpiking Neural NetworksNeuromorphic EngineeringPulse PowerNeuromorphic DevicesNumerical SimulationsAfm “ NeuronsNeurocomputersElectrical EngineeringPhysicsComputer EngineeringNeuromorphic ComputingNeural Networks (Computational Neuroscience)Antiferromagnetic Pulse GeneratorsSpintronicsApplied PhysicsSingle Afm “Quantum Devices
It has been shown previously that spin-Hall oscillators based on current-driven bi-layered film structures containing an antiferromagnet (AFM) and a normal metal can generate ultra-short (∼2 ps) “spike-like” pulses in response to an external current stimulus of a sufficient amplitude, thus operating as ultra-fast artificial “neurons.” Here, we report the results of numerical simulations demonstrating that a single AFM “neuron” can perform the logic functions of or, and, majority, or q-gates, while a circuit consisting of a small number n<5 of AFM “neurons” can function as a full-adder or as a dynamic memory loop with variable clock frequency. The clock frequencies of such AFM-based logic devices could reach tens of GHz, which make them promising as base elements of future ultra-fast high-efficiency neuromorphic computing.
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