Graphene-based radiation detection sensor modeling
Graphene as a single layer graphite with one atom thickness and two dimensional structures is satisfying prospective nanoelectronics demands and also opens new portals in electronics. To meet specifications of future cutting edge applications, lead us selecting graphene with the purpose of model an...
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my-utm-ep.321232018-04-27T01:18:46Z Graphene-based radiation detection sensor modeling 2012-06 Samadi, Javad TK Electrical engineering. Electronics Nuclear engineering Graphene as a single layer graphite with one atom thickness and two dimensional structures is satisfying prospective nanoelectronics demands and also opens new portals in electronics. To meet specifications of future cutting edge applications, lead us selecting graphene with the purpose of model an eligible transistor regarding gamma-ray (Ionizing Radiation) detection. With utilizing graphene as a top-gate of a FET, weve concluded a detecting device with exceptional sensitivity which doubles the range of sensitivity. In this paper gradient of graphene conductivity during the gamma-ray exposure (Ionizing Radiation) is reported.The capability of swift localizing sources of gamma radiation would aid urgent situation responders to disable, detach or securely take out devices with radioactive sources. In this work, Local electric field’s ultra-sensitivity feature of the Single-Layer Graphene exploited by put graphene in adjacency of the ionized gamma-ray absorber which consequently flow a current across the surface of the graphene. Subsequently, weve calculated the factor in order to define a detecting feature as an accessory characteristic of the sensor. 2012-06 Thesis http://eprints.utm.my/id/eprint/32123/ http://eprints.utm.my/id/eprint/32123/5/JavadSamadiMFKE2012.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:69730?site_name=Restricted Repository masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering |
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English |
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TK Electrical engineering Electronics Nuclear engineering |
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TK Electrical engineering Electronics Nuclear engineering Samadi, Javad Graphene-based radiation detection sensor modeling |
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Graphene as a single layer graphite with one atom thickness and two dimensional structures is satisfying prospective nanoelectronics demands and also opens new portals in electronics. To meet specifications of future cutting edge applications, lead us selecting graphene with the purpose of model an eligible transistor regarding gamma-ray (Ionizing Radiation) detection. With utilizing graphene as a top-gate of a FET, weve concluded a detecting device with exceptional sensitivity which doubles the range of sensitivity. In this paper gradient of graphene conductivity during the gamma-ray exposure (Ionizing Radiation) is reported.The capability of swift localizing sources of gamma radiation would aid urgent situation responders to disable, detach or securely take out devices with radioactive sources. In this work, Local electric field’s ultra-sensitivity feature of the Single-Layer Graphene exploited by put graphene in adjacency of the ionized gamma-ray absorber which consequently flow a current across the surface of the graphene. Subsequently, weve calculated the factor in order to define a detecting feature as an accessory characteristic of the sensor. |
format |
Thesis |
qualification_level |
Master's degree |
author |
Samadi, Javad |
author_facet |
Samadi, Javad |
author_sort |
Samadi, Javad |
title |
Graphene-based radiation detection sensor modeling |
title_short |
Graphene-based radiation detection sensor modeling |
title_full |
Graphene-based radiation detection sensor modeling |
title_fullStr |
Graphene-based radiation detection sensor modeling |
title_full_unstemmed |
Graphene-based radiation detection sensor modeling |
title_sort |
graphene-based radiation detection sensor modeling |
granting_institution |
Universiti Teknologi Malaysia, Faculty of Electrical Engineering |
granting_department |
Faculty of Electrical Engineering |
publishDate |
2012 |
url |
http://eprints.utm.my/id/eprint/32123/5/JavadSamadiMFKE2012.pdf |
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1747815926954196992 |