Understanding UV sensor performance in ZnO TFTs through the application of multivariate analysis
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://hdl.handle.net/11449/185722 |
Resumo: | Zinc oxide (ZnO) thin film transistors are well suited to UV sensing application because they absorb predominantly in the UV region due to the wide bandgap (Eg = 3.37 eV) and possess a large exciton binding energy (60 meV) with high radiation hardness. When operated as a transistor, many device performance parameters alter such as threshold Voltage, on-off current and channel mobility. As a result, it is to distinguish between changes in electrical performance induced by UV light and environmental effects that add noise to the sensor performance. In this work, the UV response of zinc oxide thin film transistors (ZnO TFTs) is examined using Taguchi Design of Experiment (DOE) method. By using this multivariate analysis approach, it is possible to reduce the number of calibration tests required for the sensor to accurately assess UV irradiation It is observed that different input conditions (UV power, exposure time, temperature, bias conditions) affect different TFT performance parameters more or less significantly. From the perspective of UV sensing, ON current in the saturation region appears to be the best performance parameter in a ZnO TFT for examining differences in UV exposure. |
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Repositório Institucional da UNESP |
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Understanding UV sensor performance in ZnO TFTs through the application of multivariate analysisZnO thin film transistorZnO TFT UV photo sensorRadio frequency sputteringultravioletZinc oxide (ZnO) thin film transistors are well suited to UV sensing application because they absorb predominantly in the UV region due to the wide bandgap (Eg = 3.37 eV) and possess a large exciton binding energy (60 meV) with high radiation hardness. When operated as a transistor, many device performance parameters alter such as threshold Voltage, on-off current and channel mobility. As a result, it is to distinguish between changes in electrical performance induced by UV light and environmental effects that add noise to the sensor performance. In this work, the UV response of zinc oxide thin film transistors (ZnO TFTs) is examined using Taguchi Design of Experiment (DOE) method. By using this multivariate analysis approach, it is possible to reduce the number of calibration tests required for the sensor to accurately assess UV irradiation It is observed that different input conditions (UV power, exposure time, temperature, bias conditions) affect different TFT performance parameters more or less significantly. From the perspective of UV sensing, ON current in the saturation region appears to be the best performance parameter in a ZnO TFT for examining differences in UV exposure.Newton FundBangor Univ, Sch Elect, Bangor LL57 1UT, Gwynedd, WalesUNESP, Fac Ciencia & Tecnol, DFQB, Presidente Prudente, SP, BrazilUNESP, Fac Ciencia & Tecnol, DFQB, Presidente Prudente, SP, BrazilIeeeBangor UnivUniversidade Estadual Paulista (Unesp)Kumar, DineshGomes, Tiago [UNESP]Alves, Neri [UNESP]Kettle, JeffIEEE2019-10-04T12:37:57Z2019-10-04T12:37:57Z2018-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject1390-13922018 Ieee Sensors. New York: Ieee, p. 1390-1392, 2018.1930-0395http://hdl.handle.net/11449/185722WOS:0004681993003577607651111619269Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2018 Ieee Sensorsinfo:eu-repo/semantics/openAccess2024-06-19T12:46:01Zoai:repositorio.unesp.br:11449/185722Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:09:00.175835Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Understanding UV sensor performance in ZnO TFTs through the application of multivariate analysis |
title |
Understanding UV sensor performance in ZnO TFTs through the application of multivariate analysis |
spellingShingle |
Understanding UV sensor performance in ZnO TFTs through the application of multivariate analysis Kumar, Dinesh ZnO thin film transistor ZnO TFT UV photo sensor Radio frequency sputtering ultraviolet |
title_short |
Understanding UV sensor performance in ZnO TFTs through the application of multivariate analysis |
title_full |
Understanding UV sensor performance in ZnO TFTs through the application of multivariate analysis |
title_fullStr |
Understanding UV sensor performance in ZnO TFTs through the application of multivariate analysis |
title_full_unstemmed |
Understanding UV sensor performance in ZnO TFTs through the application of multivariate analysis |
title_sort |
Understanding UV sensor performance in ZnO TFTs through the application of multivariate analysis |
author |
Kumar, Dinesh |
author_facet |
Kumar, Dinesh Gomes, Tiago [UNESP] Alves, Neri [UNESP] Kettle, Jeff IEEE |
author_role |
author |
author2 |
Gomes, Tiago [UNESP] Alves, Neri [UNESP] Kettle, Jeff IEEE |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Bangor Univ Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Kumar, Dinesh Gomes, Tiago [UNESP] Alves, Neri [UNESP] Kettle, Jeff IEEE |
dc.subject.por.fl_str_mv |
ZnO thin film transistor ZnO TFT UV photo sensor Radio frequency sputtering ultraviolet |
topic |
ZnO thin film transistor ZnO TFT UV photo sensor Radio frequency sputtering ultraviolet |
description |
Zinc oxide (ZnO) thin film transistors are well suited to UV sensing application because they absorb predominantly in the UV region due to the wide bandgap (Eg = 3.37 eV) and possess a large exciton binding energy (60 meV) with high radiation hardness. When operated as a transistor, many device performance parameters alter such as threshold Voltage, on-off current and channel mobility. As a result, it is to distinguish between changes in electrical performance induced by UV light and environmental effects that add noise to the sensor performance. In this work, the UV response of zinc oxide thin film transistors (ZnO TFTs) is examined using Taguchi Design of Experiment (DOE) method. By using this multivariate analysis approach, it is possible to reduce the number of calibration tests required for the sensor to accurately assess UV irradiation It is observed that different input conditions (UV power, exposure time, temperature, bias conditions) affect different TFT performance parameters more or less significantly. From the perspective of UV sensing, ON current in the saturation region appears to be the best performance parameter in a ZnO TFT for examining differences in UV exposure. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-01-01 2019-10-04T12:37:57Z 2019-10-04T12:37:57Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
2018 Ieee Sensors. New York: Ieee, p. 1390-1392, 2018. 1930-0395 http://hdl.handle.net/11449/185722 WOS:000468199300357 7607651111619269 |
identifier_str_mv |
2018 Ieee Sensors. New York: Ieee, p. 1390-1392, 2018. 1930-0395 WOS:000468199300357 7607651111619269 |
url |
http://hdl.handle.net/11449/185722 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2018 Ieee Sensors |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
1390-1392 |
dc.publisher.none.fl_str_mv |
Ieee |
publisher.none.fl_str_mv |
Ieee |
dc.source.none.fl_str_mv |
Web of Science reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129291333926912 |