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-based artificial synapses into an artificial neural network, achieving a high recognition accuracy of 96.3% on the MNIST data set for handwritten digit recognition. These findings introduce an effective method for high-accuracy neuromorphic applications through the band structure engineering of 2D materials.
Lv et al. (Sat,) studied this question.