JOURNAL ARTICLE
Photoelectric memristor based on a PZT/NSTO heterojunction for neuromorphic computing applications
Jingjuan WangZhaowen WangWei ZhaoXiaobing Yan
Year: 2024 Journal: Journal of Materials Chemistry C Vol: 13 (9)Pages: 4683-4690 Publisher: Royal Society of Chemistry
Abstract
Inspired by the human brain and visual system, neuromorphic computing based on a photoelectric memristor overcomes the limitations of the traditional von Neumann architecture and has attracted the interest of researchers.
Keywords:
Neuromorphic engineering Memristor Materials science Heterojunction Photoelectric effect Optoelectronics Nanotechnology Computer science Electronic engineering Artificial neural network Artificial intelligence Engineering
Metrics
2
Cited By
0.74
FWCI (Field Weighted Citation Impact)
35
Refs
0.68
Citation Normalized Percentile
Is in top 1%
Is in top 10%
Citation History
Topics
Advanced Memory and Neural Computing
Physical Sciences → Engineering → Electrical and Electronic Engineering
Neural Networks and Reservoir Computing
Physical Sciences → Computer Science → Artificial Intelligence
Phase-change materials and chalcogenides
Physical Sciences → Materials Science → Materials Chemistry
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