Q
Qi Liu
Researcher at Fudan University
Publications - 494
Citations - 16543
Qi Liu is an academic researcher from Fudan University. The author has contributed to research in topics: Resistive random-access memory & Neuromorphic engineering. The author has an hindex of 55, co-authored 433 publications receiving 11785 citations. Previous affiliations of Qi Liu include Chinese Academy of Sciences & Anhui University.
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Electrolyte-gated transistors with good retention for neuromorphic computing
TL;DR: In this paper , a SiO2 layer between the gate electrode and electrolyte was inserted to improve the retention performance of EGT transistors, achieving a nearly ideal recognition accuracy of 98% by simulations using handwritten digit data sets.
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A self-powered rapid loading microfluidic chip for vector-borne viruses detection using RT-LAMP
Yuhan Yao,Na Zhao,Na Zhao,Wenwen Jing,Wenwen Jing,Qi Liu,Huijun Lu,Wei Zhao,Wang Zhao,Zhiming Yuan,Han Xia,Guodong Sui,Guodong Sui +12 more
TL;DR: A self-powered rapid loading microfluidic chip for eight vector-borne viruses detection, including Rift Valley Fever Virus, Chikungunya Virus, Japanese Encephalitis Virus, Yellow Fever virus, and Dengue Virus, which is expected to be used in point-of-care (POC) diagnosis.
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Impact of Ta/Ti electrodes on linearities of TaO x -based resistive random-access memories for neuromorphic computing
Yilin Fang,Yilin Fang,Tuo Shi,Xumeng Zhang,Zuheng Wu,Junjie An,Junjie An,Jinsong Wei,Jinsong Wei,Jian Lu,Jian Lu,Qi Liu +11 more
TL;DR: This work studied both the conductance reading and conductance updating (long term potentiation and depression) linearities in the two RRAM devices and found that both the training and inference accuracies of Ta electrode device are better than those of the Ti electrode one.
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Engineering Spiking Neurons Using Threshold Switching Devices for High-Efficient Neuromorphic Computing
Yanting Ding,YaJun Zhang,Xumeng Zhang,Pei Chen,Zefeng Zhang,Yue Yang,Lingli Cheng,Chen Mu,Ming Wang,Du Xiang,Guangjian Wu,Keji Zhou,Zhe Yuan,Qi Liu +13 more
TL;DR: This work systematically study the effect of both the extrinsic and intrinsic factors of NbOx -based TS neurons on their spiking behaviors, providing valuable guidance on building compact LIF neurons based on TS devices and further bolsters the construction of high-efficiency neuromorphic systems.
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A semi-quantitative method for point-of-care assessments of specific pathogenic bioaerosols using a portable microfluidics-based device
TL;DR: In this paper, a point-of-care detection method for semi-quantitative assessments of specific pathogenic bioaerosols based on the portable microfluidics-based device was presented.