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Layer Ensemble Averaging for Improving Memristor-Based Artificial Neural Network Performance
Results demonstrate that by trading off the number of devices required for layer mapping, layer ensemble averaging can reliably boost defective memristive network performance up to the software baseline.
Measurement-driven neural-network training for integrated magnetic tunnel junction arrays
Methods such as hardware-aware training, where substrate non-idealities are incorporated during network training, are one way to recover performance at the cost of solution generality.
Double Free-Layer Magnetic Tunnel Junctions for Probabilistic Bits
One such approach is to use a low barrier nanomagnet as the free layer of a magnetic tunnel junction (MTJ) whose magnetic fluctuations are converted to resistance fluctuations in the presence of a stable fixed layer.
Mesoscale and Nanoscale Physics Emerging Technologies
