Nanometer-Scale Oxide Thin Film Transistor with Potential for High-Density Image Sensor Applications

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dc.contributor.authorJeon, Sanghunko
dc.contributor.authorPark, Sunghoko
dc.contributor.authorSong, Ihunko
dc.contributor.authorHur, Ji-Hyunko
dc.contributor.authorPark, Jaechulko
dc.contributor.authorKim, Hojungko
dc.contributor.authorKim, Sunilko
dc.contributor.authorKim, Sangwookko
dc.contributor.authorYin, Huaxiangko
dc.contributor.authorChung, U-Inko
dc.contributor.authorLee, Eunhako
dc.contributor.authorKim, Changjungko
dc.date.accessioned2018-03-21T02:56:46Z-
dc.date.available2018-03-21T02:56:46Z-
dc.date.created2018-03-07-
dc.date.created2018-03-07-
dc.date.issued2011-01-
dc.identifier.citationACS APPLIED MATERIALS & INTERFACES, v.3, no.1, pp.1 - 6-
dc.identifier.issn1944-8244-
dc.identifier.urihttp://hdl.handle.net/10203/240834-
dc.description.abstractThe integration of electronically active oxide components onto silicon circuits represents an innovative approach to improving the functionality of novel devices. Like most semiconductor device's, complementary-metal-oxide-semiconductor image sensors (CISs) have physical limitations when progressively scaled,down to extremely small dimensions. In this paper, we propose a novel hybrid CIS architecture that is based on the combination of nanometer-scale amorphous In-Ga-Zn-O (a-IGZO) thin-film transistors (TFTs) and a conventional Si photo diode (PD). With this approach, we aim to overcome the loss of quantum efficiency and image quality due to the continuous miniaturization of PDs. Specifically the a-IGZO TFT with 180 nm gate length is probed to exhibit remarkable performance including low 1/f noise and high output gain, despite fabrication temperatures as low as 200 degrees C. In particular, excellent device performance is achieved using a double layer gate dielectric (Al2O3/SiO2) combined with a trapezoidal active region formed by a tailored etching process. A self aligned cop gate structure is adopted to ensure low parasitic capacitance. Lastly, three-dimensional (3D) process simulation tools are employed to optimize the four pixel CIS structure. The results demonstrate how our stacked hybrid device could be the starting point for new device strategies in image sensor architectures. Furthermore, we expect the proposed approach to be applicable to a wide range of micro, and nanoelectronic devices and systems.-
dc.languageEnglish-
dc.publisherAMER CHEMICAL SOC-
dc.subjectLOW-FREQUENCY NOISE-
dc.subjectNONVOLATILE MEMORY-
dc.subjectSOLAR-CELLS-
dc.subjectTRANSPARENT-
dc.subjectGRAPHENE-
dc.subjectGATE-
dc.subjectNANOTUBES-
dc.subjectARRAYS-
dc.titleNanometer-Scale Oxide Thin Film Transistor with Potential for High-Density Image Sensor Applications-
dc.typeArticle-
dc.identifier.wosid000286499700001-
dc.identifier.scopusid2-s2.0-79953043496-
dc.type.rimsART-
dc.citation.volume3-
dc.citation.issue1-
dc.citation.beginningpage1-
dc.citation.endingpage6-
dc.citation.publicationnameACS APPLIED MATERIALS & INTERFACES-
dc.identifier.doi10.1021/am1009088-
dc.contributor.localauthorJeon, Sanghun-
dc.contributor.nonIdAuthorPark, Sungho-
dc.contributor.nonIdAuthorSong, Ihun-
dc.contributor.nonIdAuthorHur, Ji-Hyun-
dc.contributor.nonIdAuthorPark, Jaechul-
dc.contributor.nonIdAuthorKim, Hojung-
dc.contributor.nonIdAuthorKim, Sunil-
dc.contributor.nonIdAuthorKim, Sangwook-
dc.contributor.nonIdAuthorYin, Huaxiang-
dc.contributor.nonIdAuthorChung, U-In-
dc.contributor.nonIdAuthorLee, Eunha-
dc.contributor.nonIdAuthorKim, Changjung-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
dc.subject.keywordAuthoramorphous oxide semiconductor-
dc.subject.keywordAuthorIn-Ga-Zn-O-
dc.subject.keywordAuthorimage sensor-
dc.subject.keywordAuthorthin film transistor-
dc.subject.keywordAuthornanometer scale-
dc.subject.keywordAuthorlow-frequency noise-
dc.subject.keywordPlusLOW-FREQUENCY NOISE-
dc.subject.keywordPlusNONVOLATILE MEMORY-
dc.subject.keywordPlusSOLAR-CELLS-
dc.subject.keywordPlusTRANSPARENT-
dc.subject.keywordPlusGRAPHENE-
dc.subject.keywordPlusGATE-
dc.subject.keywordPlusNANOTUBES-
dc.subject.keywordPlusARRAYS-
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