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Researchers at Wuhan University have developed advanced memristors featuring analog switching and high on/off ratios, utilizing two-dimensional van der Waals metallic materials as cathodes. These memristors employ silver as the top anode and indium phosphorus sulfide as the switching medium. This design introduces a high diffusion barrier that modulates silver ion movement, enabling analog switching with on/off ratios up to 10⁸, over 8-bit conductance states, and attojoule-level power consumption. Chip-level simulations of convolutional neural networks demonstrated high image recognition accuracies, highlighting the potential of these memristors in neuromorphic computing applications.
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