Optoelectronic Artificial Synaptic Device Based on Graphene-AlGaN Van Der Waals Junction

The graphene-AlGaN van der Waals junction and their array were prepared by a novel patterned graphene growth method, in which the photosensitive polymer was served as the carbon source. Apart from the high quality and uniformity of the asgrown graphene patterns, this graphene-AlGaN junction was applied to an optoelectronic artificial synaptic device, and it has successfully emulated the functionalities of a biological synapse, the long-term memory time could sustain to 10 min.

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Publication Details

Published
2025-03-09
DOI
https://doi.org/10.1109/edtm61175.2025.11040703
Primary Topic
Advanced Memory and Neural Computing
Type
article
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Optoelectronic Artificial Synaptic Device Based on Graphene-AlGaN Van Der Waals Junction

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Optoelectronic Artificial Synaptic Device Based on Graphene-AlGaN Van Der Waals Junction

Dabing Li, Chen Yang, Xiaoyu Wei, Jin Zhang, Xiaojuan Sun, Yuanyuan Yue, Bingchen Lv
article en

Abstract

The graphene-AlGaN van der Waals junction and their array were prepared by a novel patterned graphene growth method, in which the photosensitive polymer was served as the carbon source. Apart from the high quality and uniformity of the asgrown graphene patterns, this graphene-AlGaN junction was applied to an optoelectronic artificial synaptic device, and it has successfully emulated the functionalities of a biological synapse, the long-term memory time could sustain to 10 min.

Jilin University of Finance and Economics (CN), Chinese Academy of Sciences (CN), Changchun Institute of Optics, Fine Mechanics and Physics (CN)
Affordable and clean energy
Openalex Percentile: Top 87%
Advanced Memory and Neural Computing
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