Fully solution-driven charge trapping synaptic transistor with low energy consumption for neuromorphic computing

Brain-inspired neuromorphic computing has garnered significant attention for going beyond the constraint of von Neumann architecture. To emulate the human brain functions, various artificial synaptic devices have been proposed. Due to the high reliability and the CMOS compatibility, the synaptic tra...

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Veröffentlicht in:	Applied physics letters 2024-06, Vol.124 (23)
Hauptverfasser:	Xie, Hongfu, Miao, Guangtan, Liu, Guoxia, Shan, Fukai
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Brain Digital imaging Energy consumption Feasibility studies Handwriting recognition Neuromorphic computing Transistors Trapping Zirconium dioxide
Online-Zugang:	Volltext
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