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Emerging Iontronic Neural Devices for Neuromorphic Sensory Computing

Shilei Dai, Xu Liu, Youdi Liu, Yutong Xu, Junyao Zhang, Yue Wu, Ping Cheng, Lize Xiong, Jia Huang

2023Advanced Materials104 citationsDOI

Abstract

Living organisms have a very mysterious and powerful sensory computing system based on ion activity. Interestingly, studies on iontronic devices in the past few years have proposed a promising platform for simulating the sensing and computing functions of living organisms, because: 1) iontronic devices can generate, store, and transmit a variety of signals by adjusting the concentration and spatiotemporal distribution of ions, which analogs to how the brain performs intelligent functions by alternating ion flux and polarization; 2) through ionic-electronic coupling, iontronic devices can bridge the biosystem with electronics and offer profound implications for soft electronics; 3) with the diversity of ions, iontronic devices can be designed to recognize specific ions or molecules by customizing the charge selectivity, and the ionic conductivity and capacitance can be adjusted to respond to external stimuli for a variety of sensing schemes, which can be more difficult for electron-based devices. This review provides a comprehensive overview of emerging neuromorphic sensory computing by iontronic devices, highlighting representative concepts of both low-level and high-level sensory computing and introducing important material and device breakthroughs. Moreover, iontronic devices as a means of neuromorphic sensing and computing are discussed regarding the pending challenges and future directions.

Topics & Concepts

Neuromorphic engineeringMaterials scienceSensory systemNanotechnologyArtificial neural networkNeuroscienceArtificial intelligenceComputer scienceBiologyAdvanced Memory and Neural ComputingNeural Networks and Reservoir ComputingNeural dynamics and brain function
Emerging Iontronic Neural Devices for Neuromorphic Sensory Computing | Litcius