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DC FieldValueLanguage
dc.contributor.author김재균-
dc.date.accessioned2024-04-29T01:12:02Z-
dc.date.available2024-04-29T01:12:02Z-
dc.date.issued2023-05-18-
dc.identifier.citationACS APPLIED MATERIALS & INTERFACES, v. 15, NO 21, Page. 26138-26147en_US
dc.identifier.issn1944-8244en_US
dc.identifier.issn1944-8252en_US
dc.identifier.urihttps://information.hanyang.ac.kr/#/eds/detail?an=001014113900001&dbId=edswscen_US
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/190057-
dc.description.abstractA 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.sponsorshipThis 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.languageen_USen_US
dc.publisherAMER CHEMICAL SOCen_US
dc.relation.ispartofseriesv. 15, NO 21;26138-26147-
dc.subjection gelen_US
dc.subjectVOC ssensoren_US
dc.subjectflexibleen_US
dc.subjectmachine learningen_US
dc.subjectstrain compensationen_US
dc.titleMicropyramidal Flexible Ion Gel Sensor for Multianalyte Discrimination and Strain Compensationen_US
dc.typeArticleen_US
dc.identifier.doi10.1021/acsami.3c02570en_US
dc.relation.page26138-26147-
dc.relation.journalACS APPLIED MATERIALS & INTERFACES-
dc.contributor.googleauthorLee, Jeongho-
dc.contributor.googleauthorLe, Quang Trung-
dc.contributor.googleauthorLee, Dawoon-
dc.contributor.googleauthorNam, Seonho-
dc.contributor.googleauthorNguyen, Thi Huyen-
dc.contributor.googleauthorSong, Yongjun-
dc.contributor.googleauthorSung, Joonsoo-
dc.contributor.googleauthorSon, Seung-Woo-
dc.contributor.googleauthorKim, Jaekyun-
dc.relation.code2023034830-
dc.sector.campusE-
dc.sector.daehakCOLLEGE OF SCIENCE AND CONVERGENCE TECHNOLOGY[E]-
dc.sector.departmentDEPARTMENT OF PHOTONICS AND NANOELECTRONICS-
dc.identifier.pidjaekyunkim-


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