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Trap-state mapping to model GaN transistors dynamic performance

Articolo
Data di Pubblicazione:
2022
Abstract:
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.
Tipologia CRIS:
01.01 - Articolo in rivista
Elenco autori:
Modolo, Nicola; De Santi, Carlo; Minetto, Andrea; Sayadi, Luca; Prechtl, Gerhard; Meneghesso, Gaudenzio; Zanoni, Enrico; Meneghini, Matteo
Autori di Ateneo:
DE SANTI CARLO
MENEGHESSO GAUDENZIO
MENEGHINI MATTEO
ZANONI ENRICO
Link alla scheda completa:
https://www.research.unipd.it/handle/11577/3455470
Link al Full Text:
https://www.research.unipd.it//retrieve/handle/11577/3455470/898773/s41598-022-05830-7.pdf
Pubblicato in:
SCIENTIFIC REPORTS
Journal
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