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Risk-Perceptional and Feedback-Controlled Response System Based on NO₂-Detecting Artificial Sensory Synapse

Qian, Chuan and Choi, Yongsuk and Kim, Seonkwon and Kim, Seongchan and Choi, Young Jin and Roe, Dong Gue and Lee, Jung Hun and Kang, Moon Sung and Lee, Wi Hyoung and Cho, Jeong Ho (2022) Risk-Perceptional and Feedback-Controlled Response System Based on NO₂-Detecting Artificial Sensory Synapse. Advanced Functional Materials, 32 (18). Art. No. 2112490. ISSN 1616-301X. doi:10.1002/adfm.202112490.

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Bio-inspired artificial neural networks can be used to realize the efficient perception and parallel processing of unstructured data. This paper proposes a feedback-controlled response system based on a NO₂-detecting artificial sensory synapse, which can process, judge, and react to a varying gas environment. The NO₂-detecting artificial sensory synapse adopts an organic heterostructure involving the charge trapping layer (pentacene) and hole-conducting layer (copper-phthalocyanine). The electron-withdrawing nature of NO₂ and its high compatibility with copper-phthalocyanine induce the retentive behavior of an increase in the conductance at the hole conduction channel when consecutive positive pulses are applied to the gate terminal. The system consists of the artificial sensory synapse and artificial neuron circuits, which can provide systematic responses to varying NO₂ conditions, thereby successfully simulating the efficient risk-response system of biological neural networks. The proposed feedback-controlled response system can facilitate the development of bionic electronics and artificial intelligence frameworks.

Item Type:Article
Related URLs:
URLURL TypeDescription
Choi, Young Jin0000-0002-2604-9051
Kang, Moon Sung0000-0003-0491-5032
Lee, Wi Hyoung0000-0002-2380-4517
Cho, Jeong Ho0000-0002-1030-9920
Alternate Title:Risk‐Perceptional and Feedback‐Controlled Response System Based on NO2‐Detecting Artificial Sensory Synapse
Additional Information:© 2022 Wiley-VCH GmbH. Issue Online: 02 May 2022; Version of Record online: 22 January 2022; Manuscript revised: 27 December 2021; Manuscript received: 06 December 2021. C.Q. and Y.C. contributed equally this work. This work was supported by the Basic Science Program (NRF-2020R1A2C2007819) through the National Research Foundation (NRF) of Korea funded by the Ministry of Science and ICT, the Korea Medical Device Development Fund grant funded by the Korea government (the Ministry of Science and ICT) (Project Number: KMDF202012B02-02), and the Creative Materials Discovery Program (NRF-2019M3D1A1078299) through the National Research Foundation (NRF) of Korea funded by the Ministry of Science and ICT, Korea. C.Q. acknowledges the support by the National Natural Science Foundation of China (62104069). The authors declare no conflict of interest. Data Availability Statement: The data that support the findings of this study are available from the corresponding author upon reasonable request.
Funding AgencyGrant Number
National Research Foundation of KoreaNRF-2020R1A2C2007819
Korea Medical Device Development FundUNSPECIFIED
Ministry of Science and ICT (Korea)KMDF202012B02-02
National Research Foundation of KoreaNRF-2019M3D1A1078299
National Natural Science Foundation of China62104069
Subject Keywords:artificial sensory synapses; data processing; nitrogen dioxide sensitive; organic heterojunctions; risk responses
Issue or Number:18
Record Number:CaltechAUTHORS:20220124-215465000
Persistent URL:
Official Citation:Qian, C., Choi, Y., Kim, S., Kim, S., Choi, Y. J., Roe, D. G., Lee, J. H., Kang, M. S., Lee, W. H., Cho, J. H., Risk-Perceptional and Feedback-Controlled Response System Based on NO2-Detecting Artificial Sensory Synapse. Adv. Funct. Mater. 2022, 32, 2112490.
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:113091
Deposited By: George Porter
Deposited On:25 Jan 2022 20:56
Last Modified:03 May 2022 20:28

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