Qing Wan mainly focuses on Neuromorphic engineering, Transistor, Nanotechnology, Optoelectronics and Modulation. His study in Neuromorphic engineering is interdisciplinary in nature, drawing from both Electronic engineering and Carbon nanotube. His Transistor study combines topics from a wide range of disciplines, such as Synapse, Printed electronics, Electronics and Thin-film transistor.
His work in the fields of Graphene and Flexible electronics overlaps with other areas such as Cognitive systems and Oxide. His Optoelectronics research includes elements of AND gate and Electrochemical doping. The concepts of his Modulation study are interwoven with issues in Postsynaptic Current, Excitatory postsynaptic potential and Organic semiconductor.
Qing Wan spends much of his time researching Transistor, Neuromorphic engineering, Optoelectronics, Nanotechnology and Thin-film transistor. He integrates many fields in his works, including Transistor and Oxide. His Neuromorphic engineering study combines topics in areas such as Electronic engineering, Excitatory postsynaptic potential and Modulation.
His research in Optoelectronics intersects with topics in Low voltage, Voltage, Layer and Gate dielectric. His studies deal with areas such as Synaptic weight and Indium as well as Nanotechnology. Qing Wan focuses mostly in the field of Thin-film transistor, narrowing it down to topics relating to Flexible electronics and, in certain cases, Substrate and Motion detector.
The scientist’s investigation covers issues in Transistor, Neuromorphic engineering, Optoelectronics, Modulation and Logic gate. The Dual gate research Qing Wan does as part of his general Transistor study is frequently linked to other disciplines of science, such as Proton, therefore creating a link between diverse domains of science. He has included themes like Sensory system and Electrical engineering in his Neuromorphic engineering study.
His research in the fields of Schottky barrier overlaps with other disciplines such as Oxide. Qing Wan focuses mostly in the field of Modulation, narrowing it down to matters related to Thin-film transistor and, in some cases, Schottky diode and Synaptic weight. His research integrates issues of Solution processed, Nanotechnology, Graphene and Schmitt trigger in his study of Electrolyte.
Qing Wan spends much of his time researching Neuromorphic engineering, Transistor, Electrical engineering, Electrolyte and Long-term memory. He studies Transistor, focusing on Gate dielectric in particular. His Gate dielectric research is multidisciplinary, incorporating perspectives in Optoelectronics and Sensory system.
The Electrolyte study combines topics in areas such as Solution processed and Nanotechnology. His work carried out in the field of Voltage brings together such families of science as Synapse and Sensory neuron. His study deals with a combination of Threshold of pain and Nociceptor.
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Freestanding Artificial Synapses Based on Laterally Proton‐Coupled Transistors on Chitosan Membranes
Yang Hui Liu;Yang Hui Liu;Li Qiang Zhu;Li Qiang Zhu;Ping Feng;Yi Shi.
Advanced Materials (2015)
A MoS 2 /PTCDA Hybrid Heterojunction Synapse with Efficient Photoelectric Dual Modulation and Versatility
Shuiyuan Wang;Chunsheng Chen;Zhihao Yu;Yongli He.
Advanced Materials (2019)
An Artificial Sensory Neuron with Tactile Perceptual Learning.
Changjin Wan;Geng Chen;Yangming Fu;Ming Wang.
Advanced Materials (2018)
2D MoS 2 Neuromorphic Devices for Brain-Like Computational Systems.
Jie Jiang;Junjie Guo;Xiang Wan;Xiang Wan;Yi Yang;Yi Yang.
Printed Neuromorphic Devices Based on Printed Carbon Nanotube Thin-Film Transistors
Ping Feng;Weiwei Xu;Yi Yang;Xiang Wan.
Advanced Functional Materials (2017)
2D electric-double-layer phototransistor for photoelectronic and spatiotemporal hybrid neuromorphic integration
Jie Jiang;Wennan Hu;Dingdong Xie;Junliang Yang.
A light-stimulated synaptic device based on graphene hybrid phototransistor
Shuchao Qin;Fengqiu Wang;Yujie Liu;Qing Wan.
2D Materials (2017)
Electric-double-layer transistors for synaptic devices and neuromorphic systems
Yongli He;Yi Yang;Sha Nie;Rui Liu.
Journal of Materials Chemistry C (2018)
Artificial Synapses Based on in-Plane Gate Organic Electrochemical Transistors
Chuan Qian;Jia Sun;Ling-an Kong;Guangyang Gou.
ACS Applied Materials & Interfaces (2016)
Spatiotemporal Information Processing Emulated by Multiterminal Neuro-Transistor Networks.
Yongli He;Sha Nie;Rui Liu;Shanshan Jiang.
Advanced Materials (2019)
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