Fei Yu, Jia Cheng Cai, Li Qiang Zhu, Moheb Sheikhi, Yu Heng Zeng, Wei Guo, Zheng Yu Ren, Hui Xiao, Ji Chun Ye, Chun-Ho Lin, Andrew Barnabas Wong, Tom Wu.Three-Dimensional Nanoscale Flexible Memristor Networks with Ultralow Power for Information Transmission and Processing Application.

Tian-Yu Wang, Jia-Lin Meng, Ming-Yi Rao, Zhen-Yu He, Lin Chen, Hao Zhu, Qing-Qing Sun, Shi-Jin Ding, Wen-Zhong Bao, Peng Zhou, David Wei Zhang.ACS Applied Materials & Interfaces 2021, 13 High-Performance Organic Synaptic Transistors with an Ultrathin Active Layer for Neuromorphic Computing. Qian Yang, Huihuang Yang, Dongxu Lv, Rengjian Yu, Enlong Li, Lihua He, Qizhen Chen, Huipeng Chen, Tailiang Guo.Flexible Artificial Synapses with a Biocompatible Maltose–Ascorbic Acid Electrolyte Gate for Neuromorphic Computing. The Journal of Physical Chemistry C 2022, 126 Artificial Neuron Synaptic Realization of One Device with Transparent and Environmentally Friendly Materials. Liqiang Guo, Guifa Zhang, Hui Han, Yongbin Hu, Guanggui Cheng.This article is cited by 30 publications. Thus, the proposed PVA-gated oxide neuromorphic transistors may find potential applications in “green” ultrasensitive neuromorphic systems and efficient electronic biological interfaces. Because of the inherent environmental-friendly characteristics of PVA, the devices possess security biocompatibility. Most importantly, the PVA-gated neuromorphic devices demonstrate ultralow energy consumption of ∼1.16 fJ with ultrahigh sensitivity of ∼5.4 dB, as is very important for neuromorphic engineering applications.

Fundamental synaptic functions, including excitatory postsynaptic current, paired-pulse facilitation, and multistore memory, are successfully emulated. The electrical performances of the transistors can be modulated with the ITO channel thickness. Here, indium tin oxide (ITO)-based oxide neuromorphic transistors are fabricated using poly(vinyl alcohol) (PVA)-based proton-conducting electrolytes as gate dielectrics. Neuromorphic devices and systems with ultralow power consumption are important in building artificial intelligent systems.

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