IEEE Journal on Exploratory Solid-State Computational Devices and Circuits – Early Access

Antiferromagnetic Programmable Neuron: Structure, Training, and Pattern Recognition Applications

Antiferromagnetic Programmable Neuron: Structure, Training, and Pattern Recognition Applications 150 150

Abstract:

Artificial neurons based on antiferromagnetic (AFM) spin Hall oscillators (SHOs) are promising elements for creating ultra-fast, energy-efficient neuromorphic computing systems. These structures can generate picosecond spikes in response to dc and ac electric currents, thereby mimicking the reaction of biological neurons to an external stimuli. However, conventional AFM neurons have …

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Integrated Spatiotemporal Multiscale-Multiphysics-Uncertainty Simulation for Controlling Variability in RRAM Devices

Integrated Spatiotemporal Multiscale-Multiphysics-Uncertainty Simulation for Controlling Variability in RRAM Devices 150 150

Abstract:

Resistive random access memory (RRAM) is a leading candidate for next-generation nonvolatile memory and neuromorphic computing. However, its performance is limited by inherent switching variability and uncertainties in spatiotemporal multiscale materials and processes. This study integrates multiphysics and multiscale modeling with uncertainty quantification (UQ) to systematically address these limitations and …

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