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Uniformly Nanopatterned Graphene Field-Effect Transistors with Enhanced Properties

Overview of attention for article published in Discover Nano, July 2015
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Title
Uniformly Nanopatterned Graphene Field-Effect Transistors with Enhanced Properties
Published in
Discover Nano, July 2015
DOI 10.1186/s11671-015-0976-2
Pubmed ID
Authors

Duyoung Choi, Cihan Kuru, Youngjin Kim, Gunwoo Kim, Taekyoung Kim, Renkun Chen, Sungho Jin

Abstract

We have successfully fabricated and characterized highly uniform nanopatterned graphene (NPG). Thin anodized aluminum oxide nanomask was prepared by facile self-assembly technique without using polymer buffer layer, which was utilized as a direct-contact template for oxygen plasma etch to produce near-periodic, small-neck-width NPG. The NPG exhibits a homogeneous mesh structure with an average neck width as small as ~11 nm. The highly uniform 11-nm neck width creates a quantum confinement in NPG, which has led to a record bandgap opening of ~200 meV in graphene for the given level of neck width. Electronic characterization of single-layer NPG field-effect transistors (FETs) was performed, which demonstrated a high on-off switching ratio. We found that the NPG allows for experimental confirmation of the relationship between electrical conductance and bandgap. This work also demonstrates that our direct-contact, self-assembled mask lithography is a pathway for low-cost, high-throughput, large-scale nanomanufacturing of graphene nanodevices.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 19%
Student > Doctoral Student 3 12%
Student > Bachelor 3 12%
Lecturer 2 8%
Other 2 8%
Other 6 23%
Unknown 5 19%
Readers by discipline Count As %
Physics and Astronomy 6 23%
Engineering 5 19%
Medicine and Dentistry 3 12%
Materials Science 3 12%
Computer Science 1 4%
Other 1 4%
Unknown 7 27%