Photoelectric memristor based on a PZT/NSTO heterojunction for neuromorphic computing applications

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.

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Publication Details

Journal
Journal of Materials Chemistry C
Published
2024-12-30
DOI
https://doi.org/10.1039/d4tc04535a
Citations
3
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.63
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article

Photoelectric memristor based on a PZT/NSTO heterojunction for neuromorphic computing applications

Xiaobing Yan, Wei Zhao, Zhaowen Wang, Jingjuan Wang
3 citations
Journal of Materials Chemistry C
Advanced Memory and Neural Computing
0.63
article

Photoelectric memristor based on a PZT/NSTO heterojunction for neuromorphic computing applications

Xiaobing Yan, Wei Zhao, Zhaowen Wang, Jingjuan Wang
article en
3 citations

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.

Journal of Materials Chemistry CVol. 13(9)
National University of Singapore (SG), Hebei University (CN), Hebei GEO University (CN)
Openalex Percentile: Top 30%
Advanced Memory and Neural Computing
0.63
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