Artificial Funnel Nanochannel Device Emulates Synaptic Behavior

被引:3
|
作者
Li, Peiyue [1 ]
Liu, Junjie [2 ]
Yuan, Jun-Hui [3 ]
Guo, Yechang [1 ]
Wang, Shaofeng [4 ]
Zhang, Pan [1 ,5 ]
Wang, Wei [1 ,5 ,6 ]
机构
[1] Peking Univ, Sch Integrated Circuits, Beijing 100871, Peoples R China
[2] Peking Univ, Coll Chem & Mol Engn, Beijing 100871, Peoples R China
[3] Wuhan Univ Technol, Sch Sci, Wuhan 430070, Peoples R China
[4] China Univ Geosci Beijing, Sch Engn & Technol, Beijing 100083, Peoples R China
[5] Natl Key Lab Adv Micro & Nano Manufacture Technol, Beijing 100871, Peoples R China
[6] Beijing Adv Innovat Ctr Integrated Circuits, Beijing 100871, Peoples R China
基金
中国国家自然科学基金;
关键词
nanofluidics; synapse; liquid/liquid interface; MEMS; MEMORY; INTERFACE; TRANSPORT; SPIKING; IONS;
D O I
10.1021/acs.nanolett.3c05079
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Creating artificial synapses that can interact with biological neural systems is critical for developing advanced intelligent systems. However, there are still many difficulties, including device morphology and fluid selection. Based on Micro-Electro-Mechanical System technologies, we utilized two immiscible electrolytes to form a liquid/liquid interface at the tip of a funnel nanochannel, effectively enabling a wafer-level fabrication, interactions between multiple information carriers, and electron-to-chemical signal transitions. The distinctive ionic transport properties successfully achieved a hysteresis in ionic transport, resulting in adjustable multistage conductance gradient and synaptic functions. Notably, the device is similar to biological systems in terms of structure and signal carriers, especially for the low operating voltage (200 mV), which matches the biological neural potential (similar to 110 mV). This work lays the foundation for realizing the function of iontronics neuromorphic computing at ultralow operating voltages and in-memory computing, which can break the limits of information barriers for brain-machine interfaces.
引用
收藏
页码:6192 / 6200
页数:9
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