DataVXAdvanced Functional MaterialsPaper
journal article·2022-05Open access

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

Chuan Qian, Yongsuk Choi, Seonkwon Kim, Seongchan Kim, Young Jin Choi, Dong Gue Roe, Jung Hun Lee, Moon Sung Kang, Wi Hyoung Lee, Jeong Ho Cho

Advanced Functional Materials· Volume 32· Issue 18
Publisher pageOpen full text
Source abstract

Abstract

Abstract 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.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced Memory and Neural Computing · Neuroscience and Neural Engineering · Photoreceptor and optogenetics research

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Synergetic Innovation Center for Quantum Effects and Application Key Laboratory of Low‐dimensional Quantum Structures and Quantum Control of Ministry of Education Department of Physics Hunan Normal University Changsha 410081 P. R. China

Andrew and Peggy Cherng Department of Medical Engineering California Institute of Technology Pasadena CA 91125 USA

Department of Chemical and Biomolecular Engineering Yonsei University Seoul 120‐749 Republic of Korea

SKKU Advanced Institute of Nanotechnology (SAINT) Sungkyunkwan University Suwon 16419 Republic of Korea

Department of Electronic Engineering Yonsei University Seoul 03722 Republic of Korea

Department of Materials Science and Engineering Research Institute for Advanced Materials Seoul National University Seoul 08826 Republic of Korea

Department of Chemical and Biomolecular Engineering Institute of Emergent Materials Sogang University Seoul 04107 Republic of Korea

Department of Organic and Nano System Engineering Konkuk University Seoul 05029 Republic of Korea

Funding

National Research Foundation · National Natural Science Foundation of China

References (49)

Show source-provided references
1. 10.1038/s41586-019-1677-210.1038/s41586-019-1677-2 ↗
2. 10.1126/science.aaw558110.1126/science.aaw5581 ↗
3. 10.1038/nature2574710.1038/nature25747 ↗
4. 10.1038/s41928-018-0092-210.1038/s41928-018-0092-2 ↗
5. 10.1038/nmat475610.1038/nmat4756 ↗
6. 10.1038/nature1453910.1038/nature14539 ↗
7. 10.1016/j.neuron.2011.09.00610.1016/j.neuron.2011.09.006 ↗
8. 10.1038/nrn255810.1038/nrn2558 ↗
9. 10.1038/s41563-019-0291-x10.1038/s41563-019-0291-x ↗
10. 10.1038/s41928-018-0059-310.1038/s41928-018-0059-3 ↗
11. 10.1038/s41467-018-07682-010.1038/s41467-018-07682-0 ↗
12. 10.1038/s41467-018-04933-y10.1038/s41467-018-04933-y ↗
13. 10.1038/ncomms1519910.1038/ncomms15199 ↗
14. 10.1126/sciadv.150132610.1126/sciadv.1501326 ↗
15. 10.1038/ncomms415810.1038/ncomms4158 ↗
16. 10.1126/science.125464210.1126/science.1254642 ↗
17. 10.1038/s41565-019-0407-010.1038/s41565-019-0407-0 ↗
18. 10.1002/adma.20180019510.1002/adma.201800195 ↗
19. 10.1002/adma.20180154810.1002/adma.201801548 ↗
20. 10.1038/s41928-018-0103-310.1038/s41928-018-0103-3 ↗
21. 10.1002/adma.20180235310.1002/adma.201802353 ↗
22. 10.1038/nmat485610.1038/nmat4856 ↗
23. 10.1038/ncomms1544810.1038/ncomms15448 ↗
24. 10.1038/s41467-020-17850-w10.1038/s41467-020-17850-w ↗
25. 10.1109/MM.2018.11213035910.1109/MM.2018.112130359 ↗
26. 10.1109/JSSC.2017.271262610.1109/JSSC.2017.2712626 ↗
27. 10.1126/sciadv.abd911710.1126/sciadv.abd9117 ↗
28. 10.1038/s41467-021-21890-110.1038/s41467-021-21890-1 ↗
29. 10.1038/s41467-021-26314-810.1038/s41467-021-26314-8 ↗
30. 10.1002/adma.20200265310.1002/adma.202002653 ↗
31. 10.1038/s41467-018-07572-510.1038/s41467-018-07572-5 ↗
32. 10.1002/adma.20120368010.1002/adma.201203680 ↗
33. Spaeth A. · 2020
34. 10.1089/soro.2020.001610.1089/soro.2020.0016 ↗
35. 10.1002/adma.20190355810.1002/adma.201903558 ↗
36. 10.1038/s41467-020-17870-610.1038/s41467-020-17870-6 ↗
37. 10.1021/acs.accounts.8b0055310.1021/acs.accounts.8b00553 ↗
38. 10.1152/ajplung.2002.282.1.L15510.1152/ajplung.2002.282.1.L155 ↗
39. 10.1002/admt.20200088310.1002/admt.202000883 ↗
40. 10.1016/j.snb.2009.04.03510.1016/j.snb.2009.04.035 ↗
41. 10.1016/j.snb.2021.13063310.1016/j.snb.2021.130633 ↗
42. 10.1149/2.0501713jes10.1149/2.0501713jes ↗
43. 10.1016/j.snb.2012.05.02610.1016/j.snb.2012.05.026 ↗
44. 10.1016/S0925-4005(00)00323-310.1016/S0925-4005(00)00323-3 ↗
45. 10.1016/j.snb.2020.12770010.1016/j.snb.2020.127700 ↗
46. 10.1016/j.snb.2019.01.04910.1016/j.snb.2019.01.049 ↗
47. 10.3389/fnins.2015.0005510.3389/fnins.2015.00055 ↗
48. Noback C. R. · 2005
49. 10.1038/nnano.2014.15010.1038/nnano.2014.150 ↗