摘要
具有机械柔性和神经形态计算能力的柔性神经形态器件在仿生传感器、 类脑计算芯片、 可穿戴设备等领域具有广阔的应用前景, 因此受到了广泛的关注. 低维材料, 如石墨烯、 过渡金属二卤族化合物(TMDs)、 纳米线和纳米管等材料, 具有良好的可拉伸性和化学稳定性, 可作为制备柔性器件的理想材料. 本文系统地总结了一维和二维材料在柔性神经形态器件(包括两端忆阻器和三端突触型晶体管)中的应用, 讨论了基本材料性质、 器件结构和突触行为背后的开关机制, 并强调了在实际应用中实现神经形态电路的障碍和未来应用的广阔前景.
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Acknowledgements
This work was supported by the National Natural Science Foundation of China (U2032147 and 21872100), Singapore MOE Grant (MOE-T2EP50220-0001) and the Science and Engineering Research Council of A*STAR (Agency for Science, Technology and Research) Singapore (A20G9b0135).
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Author contributions Jin T wrote the paper under the supervision of Chen W; Gao J and Wang Y revised the paper. All authors contributed to the general discussion.
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Tengyu Jin is now a PhD student in the group of Prof. Wei Chen, at the Department of Physics, National University of Singapore (NUS). He received his BSc degree (2016) and MSc degree (2019) in physics from Soochow University. His current research focuses on 2D materials-based electronics.
Wei Chen is currently a professor jointly at the Department of Chemistry and Department of Physics, NUS. He received his Bachelor degree in chemistry from Nanjing University in 2001 and PhD degree from Chemistry Department, NUS in 2004. His current research interests include the molecular-scale interface engineering for organic and 2D material-based electronics, optoelectronics, and interface-controlled nanocatalysis for energy and environmental research.
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Jin, T., Gao, J., Wang, Y. et al. Flexible neuromorphic electronics based on low-dimensional materials. Sci. China Mater. 65, 2154–2159 (2022). https://doi.org/10.1007/s40843-021-1979-3
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DOI: https://doi.org/10.1007/s40843-021-1979-3