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  5. Transistor-like triboiontronics with record-high charge density for self-powered sensors and neurologic analogs

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Article
en
2024

Transistor-like triboiontronics with record-high charge density for self-powered sensors and neurologic analogs

0 Datasets

0 Files

en
2024
Vol 2 (6)
Vol. 2
DOI: 10.1016/j.device.2024.100332

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Zhong Lin Wang
Zhong Lin Wang

Beijing Institute of Technology

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Shaoxin Li
Z. Zhang
Feiyao Yang
+7 more

Abstract

The transistor, as the basic unit of electronics based on von Neumann architecture, is approaching the limit of Moore's law in the era of big data. Inspired by the biological system, iontronics provides an energy-efficient architecture to transmit data. Here, we used the ubiquitous solid-liquid triboelectrification to regulate the output characteristics of iontronics and proposed transistor-like triboiontronics (TTI) by work function difference. Unlike previous studies, which scavenged induced electrostatic charges from a solid surface, the triboelectric charges of liquids were also captured here, creating a record-high charge density of 13.926 mC/m2. Gated by the water droplet, TTI's gate-tunable function holds great significance for self-powered threshold sensors with high signal-to-noise ratio and enables a neurologic circuit to control robotic movements. We envision that triboiontronics will provide a new paradigm for futuristic in-sensor computing and neuromorphic analogs.

How to cite this publication

Shaoxin Li, Z. Zhang, Feiyao Yang, Xiang Li, Puguang Peng, Yan Du, Qixuan Zeng, Morten Willatzen, Zhong Lin Wang, Di Wei (2024). Transistor-like triboiontronics with record-high charge density for self-powered sensors and neurologic analogs. , 2(6), DOI: https://doi.org/10.1016/j.device.2024.100332.

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Publication Details

Type

Article

Year

2024

Authors

10

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1016/j.device.2024.100332

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