Light: Science & Applications (Nov 2022)
Optical synaptic devices with ultra-low power consumption for neuromorphic computing
- Chenguang Zhu,
- Huawei Liu,
- Wenqiang Wang,
- Li Xiang,
- Jie Jiang,
- Qin Shuai,
- Xin Yang,
- Tian Zhang,
- Biyuan Zheng,
- Hui Wang,
- Dong Li,
- Anlian Pan
Affiliations
- Chenguang Zhu
- Key Laboratory for Micro-Nano Physics and Technology of Hunan Province, State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Materials Science and Engineering, Hunan University
- Huawei Liu
- Key Laboratory for Micro-Nano Physics and Technology of Hunan Province, State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Materials Science and Engineering, Hunan University
- Wenqiang Wang
- Key Laboratory for Micro-Nano Physics and Technology of Hunan Province, State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Materials Science and Engineering, Hunan University
- Li Xiang
- Key Laboratory for Micro-Nano Physics and Technology of Hunan Province, State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Materials Science and Engineering, Hunan University
- Jie Jiang
- School of Physics and Electronics, Central South University
- Qin Shuai
- Key Laboratory for Micro-Nano Physics and Technology of Hunan Province, State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Materials Science and Engineering, Hunan University
- Xin Yang
- Key Laboratory for Micro-Nano Physics and Technology of Hunan Province, State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Materials Science and Engineering, Hunan University
- Tian Zhang
- Key Laboratory for Micro-Nano Physics and Technology of Hunan Province, State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Materials Science and Engineering, Hunan University
- Biyuan Zheng
- Key Laboratory for Micro-Nano Physics and Technology of Hunan Province, State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Materials Science and Engineering, Hunan University
- Hui Wang
- Key Laboratory for Micro-Nano Physics and Technology of Hunan Province, State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Materials Science and Engineering, Hunan University
- Dong Li
- Key Laboratory for Micro-Nano Physics and Technology of Hunan Province, State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Materials Science and Engineering, Hunan University
- Anlian Pan
- Key Laboratory for Micro-Nano Physics and Technology of Hunan Province, State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Materials Science and Engineering, Hunan University
- DOI
- https://doi.org/10.1038/s41377-022-01031-z
- Journal volume & issue
-
Vol. 11,
no. 1
pp. 1 – 10
Abstract
Energy-efficient artificial photonic synapse is designed based on photo-sensitive BP/CdS heterostructure device, which can be used for high-performance brain-inspired neuromorphic computing.
