Tilt‐Engineered Molecular‐Scale Selector for Enhanced Learning in Artificial Neural Networks

Miniaturization of individual selectors in crossbar‐array‐based artificial neural networks is essential for the advancement of the underlying neuromorphic electronics, as it improves learning, recognition, and prediction accuracies. This study proposes a tilt‐engineered molecular‐scale selector comp...

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