<link rel="stylesheet" href="styles.cf390c6bfbe7555f.css"> Skip to main content

Nodal adsorbate bound states in armchair graphene nanoribbons: Fano resonances and adsorbate recognition in weak disorder

dc.citation.epage0en_US
dc.citation.issue19en_US
dc.citation.spage0en_US
dc.citation.volume90en_US
dc.citation.woscount3en_US
dc.contributor.authorChiu, C. H.en_US
dc.contributor.authorChu, C. S.en_US
dc.contributor.department電子物理學系zh_TW
dc.contributor.departmentDepartment of Electrophysicsen_US
dc.date.accessioned2019-04-03T06:40:32Z
dc.date.available2019-04-03T06:40:32Z
dc.date.issued2014-11-21en_US
dc.description.abstractWe consider adsorbates on metallic armchair-graphene nanoribbons (AGNRs). An adsorbed atom on a nodal site of the gapless subband in the AGNR is found to induce a bound state. The nodal-adsorbate bound state alone does not cause reflection in the AGNR quantum transport in the one propagating-channel regime. Yet its manifestation, as a Fano resonance in G, is brought forth by the presence of a non-nodal adsorbate (or a scatterer) located on a longitudinally separated site. Both the adsorbate-dependent nature and the significantly enhanced energy resolution of the Fano structure in G invite adsorbate recognition. The Fano peak is shown to be robust against weak disorder such as from edge vacancies, due to the localized nature of the Fano resonant state. Adsorbates F and OH, described within an extended Huckel model, are considered as examples.en_US
dc.identifier.doi10.1103/PhysRevB.90.195436en_US
dc.identifier.issn2469-9950en_US
dc.identifier.journalPHYSICAL REVIEW Ben_US
dc.identifier.urihttp://dx.doi.org/10.1103/PhysRevB.90.195436en_US
dc.identifier.urihttps://ir.lib.nycu.edu.tw/handle/11536/124124
dc.identifier.wosnumberWOS:000345742800007en_US
dc.language.isoen_USen_US
dc.titleNodal adsorbate bound states in armchair graphene nanoribbons: Fano resonances and adsorbate recognition in weak disorderen_US
dc.typeArticleen_US

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
2319c38ad8f82e930dce2f801e857850.pdf
Size:
2.99 MB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed to upon submission
Description: