Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김재균 | - |
dc.date.accessioned | 2024-04-29T01:12:02Z | - |
dc.date.available | 2024-04-29T01:12:02Z | - |
dc.date.issued | 2023-05-18 | - |
dc.identifier.citation | ACS APPLIED MATERIALS & INTERFACES, v. 15, NO 21, Page. 26138-26147 | en_US |
dc.identifier.issn | 1944-8244 | en_US |
dc.identifier.issn | 1944-8252 | en_US |
dc.identifier.uri | https://information.hanyang.ac.kr/#/eds/detail?an=001014113900001&dbId=edswsc | en_US |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/190057 | - |
dc.description.abstract | A highly sensitive and flexible gas sensor that can detect a wide range of chemicals is crucial for wearable applications. However, conventional single resistance-based flexible sensors face challenges in maintaining chemical sensitivity under mechanical stress and can be affected by interfering gases. This study presents a versatile approach for fabricating a micropyramidal flexible ion gel sensor, which accomplishes sub-ppm sensitivity (<80 ppb) at room temperature and discrimination capability between various analytes, including toluene, isobutylene, ammonia, ethanol, and humidity. The discrimination accuracy of our flexible sensor is as high as 95.86%, enhanced by using machine learning-based algorithms. Moreover, its sensing capability remains stable with only a 2.09% change from the flat state to a 6.5 mm bending radius, further amplifying its universal usage for wearable chemical sensing. Therefore, we envision that a micropyramidal flexible ion gel sensor platform assisted by machine learning-based algorithms will provide a new strategy toward next-generation wearable sensing technology. | en_US |
dc.description.sponsorship | This research was supported by the Korea Basic Science Institute (National Research Facilities and Equipment Center) grant funded by the Ministry of Education (Grant No.2021R1A6C101A405), Korea National Research Foundation (NRF) (Grant Nos 2023R1A2C1007034 and 2020R1A2C2010875), Hanyang University, the Institute of Information & Communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (MSIT) (Grant No. RS-2022-00155885, and Artificial Intelligence Convergence Innovation Human Resources Development (Hanyang University ERICA)) (S.-W.S.). | en_US |
dc.language | en_US | en_US |
dc.publisher | AMER CHEMICAL SOC | en_US |
dc.relation.ispartofseries | v. 15, NO 21;26138-26147 | - |
dc.subject | ion gel | en_US |
dc.subject | VOC ssensor | en_US |
dc.subject | flexible | en_US |
dc.subject | machine learning | en_US |
dc.subject | strain compensation | en_US |
dc.title | Micropyramidal Flexible Ion Gel Sensor for Multianalyte Discrimination and Strain Compensation | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1021/acsami.3c02570 | en_US |
dc.relation.page | 26138-26147 | - |
dc.relation.journal | ACS APPLIED MATERIALS & INTERFACES | - |
dc.contributor.googleauthor | Lee, Jeongho | - |
dc.contributor.googleauthor | Le, Quang Trung | - |
dc.contributor.googleauthor | Lee, Dawoon | - |
dc.contributor.googleauthor | Nam, Seonho | - |
dc.contributor.googleauthor | Nguyen, Thi Huyen | - |
dc.contributor.googleauthor | Song, Yongjun | - |
dc.contributor.googleauthor | Sung, Joonsoo | - |
dc.contributor.googleauthor | Son, Seung-Woo | - |
dc.contributor.googleauthor | Kim, Jaekyun | - |
dc.relation.code | 2023034830 | - |
dc.sector.campus | E | - |
dc.sector.daehak | COLLEGE OF SCIENCE AND CONVERGENCE TECHNOLOGY[E] | - |
dc.sector.department | DEPARTMENT OF PHOTONICS AND NANOELECTRONICS | - |
dc.identifier.pid | jaekyunkim | - |
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