Scanning tunneling microscopy and spectroscopy of wet chemically synthesized porous graphene nanoribbons on hydrogen passivated silicon (100)
Parsons, Kaitlyn Ann
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https://hdl.handle.net/2142/109379
Description
Title
Scanning tunneling microscopy and spectroscopy of wet chemically synthesized porous graphene nanoribbons on hydrogen passivated silicon (100)
Author(s)
Parsons, Kaitlyn Ann
Issue Date
2020-11-30
Director of Research (if dissertation) or Advisor (if thesis)
Lyding, Joseph W
Doctoral Committee Chair(s)
Lyding, Joseph W
Committee Member(s)
Girolami, Gregory S
Li, Xiuling
Zhu, Wenjuan
Department of Study
Electrical & Computer Eng
Discipline
Electrical & Computer Engr
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Date of Ingest
2021-03-05T21:38:02Z
Keyword(s)
scanning tunneling microscopy
scanning tunneling spectroscopy
graphene nanoribbons
hydrogen passivation
silicon
Abstract
This dissertation investigates wet-chemically synthesized atomically precise porous graphene nanoribbons (GNRs) exfoliated onto hydrogen passivated silicon H:Si(100) substrates using a dry contact transfer (DCT) method under ultrahigh-vacuum (UHV) conditions. The porous GNRs are characterized in UHV using scanning tunneling microscopy (STM) and scanning tunneling spectroscopy (STS). A unique electronic feature is observed at the pore sites in the STM topographic images. STS measurements indicate the presence of the pores significantly increases the bandgap compared to the surrounding GNR material.
First-principles density functional theory (DFT) simulations are used to predict the band structure for the porous GNR. This is compared to theoretical simulations of the non-porous GNR case in order to elucidate how the addition of the pore to the GNR affects the electronic structure. Experimental results and first-principles computation modeling were shown to be in good agreement.
Atomically precise GNRs with strategically placed pores expand the possibilities for applications in single-molecule detection and selectivity, including desalination and DNA sequencing.
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