Niu Yueke, Ma Yu, Xie Yanbo
School of Physical Science and Technology, Northwestern Polytechnical University, Xi'an, 710072, China.
National Key Laboratory of Aircraft Configuration Design, School of Aeronautics and Institute of Extreme Mechanics, Northwestern Polytechnical University, Xi'an, 710072, China.
Nano Lett. 2024 Aug 28;24(34):10475-10481. doi: 10.1021/acs.nanolett.4c02136. Epub 2024 Aug 8.
Memristors show promising features for neuromorphic computing. Here we report a soft memristor based on the liquid-vapor surface of a microbubble. The thickness of the liquid film was modulated by electrostatic and interfacial forces, enabling resistance switches. We found a pinched current hysteresis at scanning periods between 1.6 and 51.2 s, while representing a resistor below 1.6 s and a diode-like behavior above 51.2 s. We approximate the thickening/thinning dynamics of liquid film by pressure-driven flow at the interface and derived the impacts of salt concentration and voltage amplitude on the memory effects. Our work opens a new approach to building nanofluidic memristors by a soft interface, which may be useful for new types of neuromorphic computing in the future.
忆阻器在神经形态计算方面展现出了颇具前景的特性。在此,我们报告一种基于微泡液-气表面的柔性忆阻器。液膜厚度通过静电力和界面力进行调制,从而实现电阻切换。我们发现在1.6至51.2秒的扫描周期内存在收缩电流滞后现象,而在低于1.6秒时表现为电阻,高于51.2秒时表现出类似二极管的行为。我们通过界面处压力驱动的流动来近似液膜的增厚/变薄动力学,并推导了盐浓度和电压幅度对记忆效应的影响。我们的工作开启了一种通过柔性界面构建纳米流体忆阻器的新方法,这可能对未来新型神经形态计算有用。