Keyword Suggestions

Results
 
 
Account Login
 
 
 
 
 

Library Navigation

 
 

Browse Meetings

 
 
 
OO16.02 - Bandgap Engineering in Bilayer Graphene Using Molecular Dopants 
Date/Time:
April 24, 2014   3:45pm - 4:00pm
 
Speaker:
 
Taxonomy
 
Share:
 

An ability to induce and control an electrical and/or optical bandgap is an important consideration for graphene material science and devices. Here we report the emergence of an electrical bandgap of up to 150 meV in bilayer graphene through the interaction with physisorbed molecules, such as F2-HCNQ, DMC, DDQ and TTF, on one surface of bilayer graphene. [1] The electrical bandgap is found to scale linearly with induced carrier density though a slight asymmetry is found between n-type dopants, where the bandgap varies as 47 meV/10 cm, and p-type dopants where the bandgap varies as 38 meV/10 cm. Optical gaps corresponding to the important 3-5 μm region are also found. The emergency of bandgap is explained in terms of the asymmetric charge distributions on the upper graphene layer, which is in contact with the molecules. The high binding energy found upon adsorption of some of these molecules results in an attractive way to a permanent bandgap. Comparison is made with electrical bandgaps induced using dual gate geometries and prospects for graphene based devices are explored. [1] Alexander J. Samuels and J. David Carey, ACS Nano , 2790 (2013).
 


 
 
Average Rating: (No Ratings)
  Was great, surpassed expectations, and I would recommend this
  Was good, met expectations, and I would recommend this
  Was okay, met most expectations
  Was okay but did not meet expectations
  Was bad and I would not recommend this
 



Submit
 
Keynote Address
Panel Discussion - Different Approaches to Commercializing Materials Research
Business Challenges to Starting a Materials-Based Company
Fred Kavli Distinguished Lectureship in Nanoscience
Application of In-situ X-ray Absorption, Emission and Powder Diffraction Studies in Nanomaterials Research - From the Design of an In-situ Experiment to Data Analysis