Photonic Synapses Based on Inorganic Perovskite Quantum Dots for Neuromorphic Computing

Yan Wang; Ziyu Lv; Jinrui Chen; Zhanpeng Wang; Ye Zhou; Li Zhou; Xiaoli Chen; Su‐Ting Han

doi:10.1002/adma.201802883

journal article Jul 31, 2018

Photonic Synapses Based on Inorganic Perovskite Quantum Dots for Neuromorphic Computing

Yan Wang

Ziyu Lv Jinrui Chen Zhanpeng Wang Ye Zhou

Li Zhou

Xiaoli Chen

Su‐Ting Han

Advanced Materials Vol. 30 No. 38 · Wiley

View at Publisher Save 10.1002/adma.201802883

Abstract

AbstractInspired by the biological neuromorphic system, which exhibits a high degree of connectivity to process huge amounts of information, photonic memory is expected to pave a way to overcome the von Neumann bottleneck for nonconventional computing. Here, a photonic flash memory based on all‐inorganic CsPbBr3 perovskite quantum dots (QDs) is demonstrated. The heterostructure formed between the CsPbBr3 QDs and semiconductor layer serves as a basis for optically programmable and electrically erasable characteristics of the memory device. Furthermore, synapse functions including short‐term plasticity, long‐term plasticity, and spike‐rate‐dependent plasticity are emulated at the device level. The photonic potentiation and electrical habituation are implemented and the synaptic weight exhibits multiple wavelength response from 365, 450, 520 to 660 nm. These results may locate the stage for further thrilling novel advances in perovskite‐based memories.

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References

Details

Published: Jul 31, 2018
Vol/Issue: 30(38)
License: View

Authors

Y

Yan Wang

College of Electronic Science and Technology Shenzhen University Shenzhen 518060 P. R. China; Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province College of Optoelectronic Engineering Shenzhen University Shenzhen 518060 P. R. China

Z

Ziyu Lv

College of Electronic Science and Technology Shenzhen University Shenzhen 518060 P. R. China

J

Jinrui Chen

Institute for Advanced Study Shenzhen University Shenzhen 518060 P. R. China

Z

Zhanpeng Wang

Institute for Advanced Study Shenzhen University Shenzhen 518060 P. R. China

Y

Ye Zhou

Institute for Advanced Study Shenzhen University Shenzhen 518060 P. R. China

L

Li Zhou

College of Electronic Science and Technology Shenzhen University Shenzhen 518060 P. R. China

X

Xiaoli Chen

College of Electronic Science and Technology Shenzhen University Shenzhen 518060 P. R. China

S

Su‐Ting Han

College of Electronic Science and Technology Shenzhen University Shenzhen 518060 P. R. China

Funding

National Natural Science Foundation of China Award: 61601305

Department of Education of Guangdong Province Award: 2015KQNCX141

Cite This Article

Yan Wang, Ziyu Lv, Jinrui Chen, et al. (2018). Photonic Synapses Based on Inorganic Perovskite Quantum Dots for Neuromorphic Computing. Advanced Materials, 30(38). https://doi.org/10.1002/adma.201802883

Photonic Synapses Based on Inorganic Perovskite Quantum Dots for Neuromorphic Computing

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