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Trap-state mapping to model GaN transistors dynamic performance

Trapping phenomena degrade the dynamic performance of wide-bandgap transistors. However, the identification of the related traps is challenging, especially in presence of non-ideal defects. In this paper, we propose a novel methodology (trap-state mapping) to extract trap parameters, based on the ma...

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Autores principales: Modolo, Nicola, De Santi, Carlo, Minetto, Andrea, Sayadi, Luca, Prechtl, Gerhard, Meneghesso, Gaudenzio, Zanoni, Enrico, Meneghini, Matteo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8810804/
https://www.ncbi.nlm.nih.gov/pubmed/35110655
http://dx.doi.org/10.1038/s41598-022-05830-7
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author Modolo, Nicola
De Santi, Carlo
Minetto, Andrea
Sayadi, Luca
Prechtl, Gerhard
Meneghesso, Gaudenzio
Zanoni, Enrico
Meneghini, Matteo
author_facet Modolo, Nicola
De Santi, Carlo
Minetto, Andrea
Sayadi, Luca
Prechtl, Gerhard
Meneghesso, Gaudenzio
Zanoni, Enrico
Meneghini, Matteo
author_sort Modolo, Nicola
collection PubMed
description Trapping phenomena degrade the dynamic performance of wide-bandgap transistors. However, the identification of the related traps is challenging, especially in presence of non-ideal defects. In this paper, we propose a novel methodology (trap-state mapping) to extract trap parameters, based on the mathematical study of stretched exponential recovery kinetics. To demonstrate the effectiveness of the approach, we use it to identify the properties of traps in AlGaN/GaN transistors, submitted to hot-electron stress. After describing the mathematical framework, we demonstrate that the proposed methodology can univocally describe the properties of the distribution of trap states. In addition, to prove the validity and the usefulness of the model, the trap properties extracted mathematically are used as input for TCAD simulations. The results obtained by TCAD closely match the experimental transient curves, thus confirming the accuracy of the trap-state mapping procedure. This methodology can be adopted also on other technologies, thus constituting a universal approach for the analysis of multiexponential trapping kinetics.
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spelling pubmed-88108042022-02-03 Trap-state mapping to model GaN transistors dynamic performance Modolo, Nicola De Santi, Carlo Minetto, Andrea Sayadi, Luca Prechtl, Gerhard Meneghesso, Gaudenzio Zanoni, Enrico Meneghini, Matteo Sci Rep Article Trapping phenomena degrade the dynamic performance of wide-bandgap transistors. However, the identification of the related traps is challenging, especially in presence of non-ideal defects. In this paper, we propose a novel methodology (trap-state mapping) to extract trap parameters, based on the mathematical study of stretched exponential recovery kinetics. To demonstrate the effectiveness of the approach, we use it to identify the properties of traps in AlGaN/GaN transistors, submitted to hot-electron stress. After describing the mathematical framework, we demonstrate that the proposed methodology can univocally describe the properties of the distribution of trap states. In addition, to prove the validity and the usefulness of the model, the trap properties extracted mathematically are used as input for TCAD simulations. The results obtained by TCAD closely match the experimental transient curves, thus confirming the accuracy of the trap-state mapping procedure. This methodology can be adopted also on other technologies, thus constituting a universal approach for the analysis of multiexponential trapping kinetics. Nature Publishing Group UK 2022-02-02 /pmc/articles/PMC8810804/ /pubmed/35110655 http://dx.doi.org/10.1038/s41598-022-05830-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Modolo, Nicola
De Santi, Carlo
Minetto, Andrea
Sayadi, Luca
Prechtl, Gerhard
Meneghesso, Gaudenzio
Zanoni, Enrico
Meneghini, Matteo
Trap-state mapping to model GaN transistors dynamic performance
title Trap-state mapping to model GaN transistors dynamic performance
title_full Trap-state mapping to model GaN transistors dynamic performance
title_fullStr Trap-state mapping to model GaN transistors dynamic performance
title_full_unstemmed Trap-state mapping to model GaN transistors dynamic performance
title_short Trap-state mapping to model GaN transistors dynamic performance
title_sort trap-state mapping to model gan transistors dynamic performance
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8810804/
https://www.ncbi.nlm.nih.gov/pubmed/35110655
http://dx.doi.org/10.1038/s41598-022-05830-7
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