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Solution-processed LiGdO solid electrolyte for an In 2 O 3 synaptic transistor and its application in neuromorphic computing

Emulating biological synaptic behavior using an electrolyte-gated synaptic transistor (EGST) is promising for neuromorphic applications. EGSTs based on solid electrolytes exhibit excellent stability and compatibility with semiconductor manufacturing processes. In this work, lithium doped Gd 2 O 3 (L...

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Bibliographic Details
Published in:Journal of materials chemistry. C, Materials for optical and electronic devices Materials for optical and electronic devices, 2024
Main Authors: Du, Yixiao, Xiao, Wenlan, Miao, Guangtan, Yin, Zezhong, Ci, Ranran, Liu, Guoxia, Shan, Fukai
Format: Article
Language:English
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Summary:Emulating biological synaptic behavior using an electrolyte-gated synaptic transistor (EGST) is promising for neuromorphic applications. EGSTs based on solid electrolytes exhibit excellent stability and compatibility with semiconductor manufacturing processes. In this work, lithium doped Gd 2 O 3 (LiGdO) solid electrolyte was fabricated by a solution process, and the In 2 O 3 EGST based on LiGdO solid electrolyte was integrated. The synaptic functions of the In 2 O 3 /LiGdO EGST were realized by the migration of lithium ions within the LiGdO electrolyte under gate bias. By modulating the presynaptic spike scheme, the basic functions of biological synapses, including the excitatory postsynaptic current (EPSC), paired-pulse facilitation (PPF), short-term memory (STM), long-term memory (LTM), and high-pass filtering characteristics, were simulated. Based on the potentiation/depression characteristics of the channel conductance, an artificial neural network (ANN) was used for pattern recognition, and a high recognition accuracy of 93% was obtained for the In 2 O 3 /LiGdO EGST by simulation training. This study offers an opportunity to realize CMOS integration for EGSTs.
ISSN:2050-7526
2050-7534
DOI:10.1039/D4TC03443K