Abstract
Neuromorphic computing based on memristors could help meet the growing demand for data-intensive computing applications such as artificial intelligence. Analogue memristors with multiple conductance states are of particular use in high-efficiency neuromorphic computing, but their weight mapping capabilities are typically limited by small on/off ratios. Here we show that memristors with analogue resistive switching and large on/off ratios can be created using two-dimensional van der Waals metallic materials (graphene or platinum ditelluride) as the cathodes. The memristors use silver as the top anode and indium phosphorus sulfide as the switching medium. Previous approaches have focused on modulating ion motion using changes to the resistive switching layer or anode, which can lower the on/off ratios. In contrast, our approach relies on the van der Waals cathode, which allows silver ion intercalation/de-intercalation, creating a high diffusion barrier to modulate ion motion. The strategy can achieve analogue resistive switching with an on/off ratio up to 108, over 8-bit conductance states and attojoule-level power consumption. We use the analogue properties to perform the chip-level simulation of a convolutional neural network that offers high recognition accuracy.
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The data that support the findings of this study are available from the corresponding authors upon reasonable request.
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Acknowledgements
This work is supported by the National Key R&D Program of China (no. 2018YFA0703700 (J.H.)), National Natural Science Foundation of China (nos. U23A20364 (J.H.) and 62204175 (Y.L.)), Natural Science Foundation of Jiangsu Province (no. BK20220280 (Y.L.)) and Natural Science Foundation of Hubei Province (no. 2022CFB735 (Y.L.)). We also acknowledge the Center for Electron Microscopy of Wuhan University for their substantial support.
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This project was supervised and directed by J.H. and Y.L. Y.L. conceived this work. Y.L. and Y.X. designed the experiments. Y.L. and L.Y. conducted the device fabrication and electrical measurements. Y.L., H.W., Y.Y. and L.L. performed the material characterization. X.Z. conducted the density functional theory calculation. Y.X. performed the image recognition. All authors contributed to the discussion and analysis of the results. Y.L. wrote the manuscript.
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Nature Electronics thanks Wenjing Jie, Huajun Sun and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.
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Li, Y., Xiong, Y., Zhang, X. et al. Memristors with analogue switching and high on/off ratios using a van der Waals metallic cathode. Nat Electron 8, 36–45 (2025). https://doi.org/10.1038/s41928-024-01269-y
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DOI: https://doi.org/10.1038/s41928-024-01269-y
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