Topological Insulator Optoelectronic Synapses for High‐Accuracy Binary Image Recognition using Recurrent Neural Networks-Reference-Cited by-同舟云学术

Topological Insulator Optoelectronic Synapses for High‐Accuracy Binary Image Recognition using Recurrent Neural Networks

Published:2022-11-16 Issue:2 Volume:11 Page:2201852
ISSN:2195-1071
Container-title:Advanced Optical Materials
language:en
Short-container-title:Advanced Optical Materials

Author:

Wan Zhengfen¹²,Zhang Qiwen¹²,Hu Fangzhen¹²,Dong Yibo¹²,Li Runze¹²,Hu Liangchen³,Xie Yiyang³,Yue Zengji¹²,Chen Xi¹²,Gu Min¹²^ORCID

Affiliation:

1. Institute of Photonic Chips University of Shanghai for Science and Technology Shanghai 200093 China

2. Centre for Artificial‐Intelligence Nanophotonics School of Optical‐Electrical and Computer Engineering University of Shanghai for Science and Technology Shanghai 200093 China

3. Key Laboratory of Optoelectronics Technology Beijing University of Technology Ministry of Education Beijing 100124 China

Funder

Science and Technology Commission of Shanghai Municipality

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

Wiley

Subject

Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/adom.202201852

Reference47 articles.

1. All‐Optically Controlled Memristor for Optoelectronic Neuromorphic Computing

2. All-Oxide-Based Highly Transparent Photonic Synapse for Neuromorphic Computing

3. Growing Perovskite Quantum Dots on Carbon Nanotubes for Neuromorphic Optoelectronic Computing

4. Artificial Intelligence Nanophotonics: Optical Neural Networks and Nanophotonics

5. Recent Progress in Transistor‐Based Optoelectronic Synapses: From Neuromorphic Computing to Artificial Sensory System

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