AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
Article Link
Collect
Submit Manuscript
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article

Gate-tunable large-scale flexible monolayer MoS2 devices for photodetectors and optoelectronic synapses

Na Li1,2Congli He3( )Qinqin Wang2,4Jianshi Tang5,6Qingtian Zhang5Cheng Shen2,4Jian Tang2,4Heyi Huang5Shuopei Wang1,2Jiawei Li2,4Biying Huang2,4Zheng Wei2,4Yutuo Guo2,4Jiahao Yuan2,4Wei Yang2,4,7Rong Yang1,2,7Dongxia Shi2,4,7Guangyu Zhang1,2,4,7( )
Songshan Lake Materials Laboratory, Dongguan 523808, China
Beijing National Laboratory for Condensed Matter Physics, Key Laboratory for Nanoscale Physics and Devices, Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China
Institute of Advanced Materials, Beijing Normal University, Beijing 100875, China
School of Physical Sciences, University of Chinese Academy of Sciences, Beijing 100190, China
School of Integrated Circuits, Beijing Innovation Center for Future Chips (ICFC), Tsinghua University, Beijing 100084, China
Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing 100084, China
Beijing Key Laboratory for Nanomaterials and Nanodevices, Beijing 100190, China
Show Author Information

Abstract

Photodetectors and optoelectronic synapses are vital for construction of artificial visual perception system. However, the hardware implementations of optoelectronic-neuromorphic devices based on conventional architecture usually suffer from poor scalability, light response range, and limited functionalities. Here, large-scale flexible monolayer MoS2 devices integrating photodetectors and optoelectronic synapses over the entire visible spectrum in one device have been realized, which can be used in photodetection, optical communication, artificial visual perception system, and optical artificial neural network. By modulating gate voltages, we enable MoS2-based devices to be photodetectors and also optoelectronic synapses. Importantly, the MoS2-based optoelectronic synapses could implement many synaptic functions and neuromorphic characteristics, such as short-term memory (STM), long-term memory (LTM), paired-pulse facilitation (PPF), long-term potentiation (LTP)/long-term depression (LTD), and “learning-experience” behavior. Furthermore, an associative learning behavior (the classical conditioning Pavlov’s dog experiment) was emulated using paired stimulation of optical and voltage pulses. These results facilitate the development of MoS2-based multifunctional optoelectronic devices with a simple device structure, showing great potential for photodetection, optoelectronic neuromorphic computing, human visual systems mimicking, as well as wearable and implantable electronics.

Graphical Abstract

Multi-functions of photodetector and optoelectronic synapse have been realized in onesingle MoS2-based device by modulating gate voltages. The large-scale MoS2-basedmultifunctional devices with remarkable flexibility show great potential for photodetection,human visual systems mimicking and optoelectronic neuromorphic computing.

Electronic Supplementary Material

Download File(s)
12274_2022_4122_MOESM1_ESM.pdf (1.9 MB)

References

【1】
【1】
 
 
Nano Research
Pages 5418-5424

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Li N, He C, Wang Q, et al. Gate-tunable large-scale flexible monolayer MoS2 devices for photodetectors and optoelectronic synapses. Nano Research, 2022, 15(6): 5418-5424. https://doi.org/10.1007/s12274-022-4122-z
Topics:

1893

Views

113

Crossref

112

Web of Science

117

Scopus

7

CSCD

Received: 11 October 2021
Revised: 10 December 2021
Accepted: 30 December 2021
Published: 21 February 2022
© Tsinghua University Press 2022