Ambient-pressure Vapor Deposition of Dioctyl Diselenide Self-Assembled Monolayers Au(111)
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 노재근 | - |
dc.date.accessioned | 2021-08-03T23:38:17Z | - |
dc.date.available | 2021-08-03T23:38:17Z | - |
dc.date.created | 2021-06-30 | - |
dc.date.issued | 2008-05-29 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/64609 | - |
dc.description.abstract | The surface structures and phase transitions of dioctyl diselenide (DODSe) self-assembled monolayers (SAMs) prepared by ambient vapor deposition technique on Au(111) were investigated by scanning tunneling microscopy (STM), X-ray photoelectron spectroscopy (XPS), and contact angle measurements. Compare to the solution deposition of disordered DODSe SAMs on Au(111), vapor deposited DODSe SAMs are composed of well ordered phase and less number of vacancy islands (VIs). We revealed the phase transitions of DODSe SAMs from molecular aggregations to disordered dense phases via less dense missing-row phases. We also found that deposition time and temperature are critical factors for determining the surface structures of DODSe SAMs in ambient vapor-pressure deposition. | - |
dc.publisher | 아주대학교 | - |
dc.title | Ambient-pressure Vapor Deposition of Dioctyl Diselenide Self-Assembled Monolayers Au(111) | - |
dc.type | Conference | - |
dc.contributor.affiliatedAuthor | 노재근 | - |
dc.identifier.bibliographicCitation | The 19th Symposium on Molecular Electronics and Devices | - |
dc.relation.isPartOf | The 19th Symposium on Molecular Electronics and Devices | - |
dc.citation.title | The 19th Symposium on Molecular Electronics and Devices | - |
dc.citation.conferencePlace | 아주대학교 | - |
dc.type.rims | CONF | - |
dc.description.journalClass | 1 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365
COPYRIGHT © 2021 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.