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Issue 2, 2021
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Optoelectronic synaptic transistors based on upconverting nanoparticles

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Abstract

Neuromorphic computing inspired by the functions of human brain has attracted much attention in the research area of artificial intelligence. Herein, we report an optoelectronic synapse based on a polyvinylpyrrolidone (PVPy)-upconverting nanoparticle (UCNP) hybrid floating gate transistor. The UCNP-based synaptic transistor exhibits a remarkable near-infrared (NIR)-induced de-trapping behaviour as well as a long retention time. Furthermore, our device is employed to successfully emulate various synaptic functions including postsynaptic current with different duration times and pulse amplitudes, paired-pulse facilitation/depression, transition from short-term plasticity to long-term plasticity and learning-forgetting-relearning processes. Overall, this work may open up a new opportunity for NIR optoelectronic synapses.

Graphical abstract: Optoelectronic synaptic transistors based on upconverting nanoparticles

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Article information


Submitted
29 Aug 2020
Accepted
20 Nov 2020
First published
21 Nov 2020

J. Mater. Chem. C, 2021,9, 640-648
Article type
Paper

Optoelectronic synaptic transistors based on upconverting nanoparticles

H. Lian, Q. Liao, B. Yang, Y. Zhai, S. Han and Y. Zhou, J. Mater. Chem. C, 2021, 9, 640
DOI: 10.1039/D0TC04115G

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