神经形态工程学
纳米技术
晶体管
材料科学
离子键合
信号(编程语言)
信号处理
计算机体系结构
光电子学
计算机科学
电子工程
工程类
人工神经网络
物理
电气工程
离子
人工智能
数字信号处理
电压
量子力学
程序设计语言
作者
Tingting Mei,Wenchao Liu,Fusai Sun,Yuanxia Chen,Guoheng Xu,Zijia Huang,Yisha Jiang,Senyao Wang,Lu Chen,Junjun Liu,Fengtao Fan,Kai Xiao
标识
DOI:10.1002/anie.202401477
摘要
Voltage-gated ion channels prevalent in neurons play important roles in generating action potential and information transmission by responding to transmembrane potential. Fabricating bio-inspired ionic transistors with ions as charge carriers will be crucial for realizing neuro-inspired devices and brain-liking computing. Here, we reported a two-dimensional nanofluidic ionic transistor based on a MXene membrane with sub-1 nm interlayer channels. By applying a gating voltage on the MXene nanofluidic, a transmembrane potential will be generated to active the ionic transistor, which is similar to the transmembrane potential of neuron cells and can be effectively regulated by changing membrane parameters, e.g., thickness, composition, and interlayer spacing. For the symmetric MXene nanofluidic, a high on/off ratio of ~2000 can be achieved by forming an ionic depletion or accumulation zone, contingent on the sign of the gating potential. An asymmetric PET/MXene-composited nanofluidic transitioned the ionic transistor from ambipolar to unipolar, resulting in a more sensitive gate voltage characteristic with a low subthreshold swing of 560 mV/decade. Furthermore, ionic logic gate circuits, including the "NOT", "NAND", and "NOR" gate, were implemented for neuromorphic signal processing successfully, which provides a promising pathway towards highly parallel, low energy consumption, and ion-based brain-like computing.
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