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Large-scale manufacturing of graphene-based devices

Author(s)
Aby, Madeline (Madeline B.)
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Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Advisor
Tomás Palacios.
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M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582
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Abstract
Graphene has shown great promise since its isolation in 2003; demonstrating amazing electrical and mechanical properties that could enable a wide range of cheap, flexible, and biocompatible electronic devices. Many graphene-based devices have already been successfully fabricated and characterized including capacitors, transistors and various sensors. However, the major challenge facing wide-spread adoption of graphene is scaleability. While advances in chemical vapor deposition have enabled the creation of quality graphene at larger scales than mechanical exfoliation, this graphene is still difficult and expensive to transfer and pattern over large areas. This work explores ways of large-scale graphene production and patterning from graphene oxide and polyimide precursors. These precursors can be coated directly on materials and then patterned with a laser, or they can be prepared as inks to be used in 3D printing technologies. Large-area devices including strain sensors, wires and capacitors were fabricated and found to have good electrical characteristics. A 3D printing system was also constructed and used to directly print graphene-based devices.
Description
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2015.
 
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
 
Cataloged from student-submitted PDF version of thesis.
 
Includes bibliographical references (pages 95-96).
 
Date issued
2015
URI
http://hdl.handle.net/1721.1/100291
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Publisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.

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