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The Static and Quasi-Dynamic Response of Graphene Sensors: The Impacts of Surface Defects

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dc.contributor.advisor Li, Qiliang
dc.contributor.author Lowenberger, Aaron
dc.creator Lowenberger, Aaron
dc.date 2017-12-01
dc.date.accessioned 2018-05-17T17:10:02Z
dc.date.available 2018-05-17T17:10:02Z
dc.identifier doi:10.13021/G8ZH6R
dc.identifier.uri https://hdl.handle.net/1920/10941
dc.description.abstract Chemical sensors are widely used in many technologies, with applications in medicine, industrial process monitoring, automotive and aerospace, military, and environmental protection. Due to the excellent electronic properties and unique two-dimensional (2D) structure, graphene has shown great promise as a highly sensitive, low noise sensor material. This research was to explore the static and dynamic response of graphene sensors upon exposure to different chemical vapors. Different graphene sensor configurations, including pristine graphene and graphene with four typical types of surface defects, were modeled in the presence and absence of five different chemicals. First-principle simulations were performed to study the electrostatic response of the different sensor configurations. The results were analyzed and compared with previously published experimental data, revealing the dominating defects present in the experimental sensors. In addition, the dynamic response of graphene sensors and the molecule-graphene interaction mechanism has been investigated by progressively changing the distance between the sensor and the vapor molecules. This study is very important for understanding the reaction mechanism between a 2D surface and chemical molecules, leading to high-performance chemical sensors.
dc.language.iso en en_US
dc.subject graphene en_US
dc.subject gas sensors en_US
dc.subject chemical sensors en_US
dc.subject surface defects en_US
dc.title The Static and Quasi-Dynamic Response of Graphene Sensors: The Impacts of Surface Defects en_US
dc.type Thesis en_US
thesis.degree.name Master of Science in Electrical Engineering en_US
thesis.degree.level Master's en_US
thesis.degree.discipline Electrical Engineering en_US
thesis.degree.grantor George Mason University en_US


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