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Streamlining Characterization and Modelling of GaN HEMTs for Pulsed-Power Applications

Vorotiahin, I. 1; Hergt, M.; Sack, M. 1; Hiller, M. 2; Müller, G. 1
1 Institut für Hochleistungsimpuls- und Mikrowellentechnik (IHM), Karlsruher Institut für Technologie (KIT)
2 Elektrotechnisches Institut (ETI), Karlsruher Institut für Technologie (KIT)

Abstract:

Gallium-nitride-based high electron mobility transistors (HEMT) are an emergent class of electronic components which, owing to their typical output voltages in hundreds of volts and rise time down to nanoseconds, can be used as fast switching elements in pulsed-power circuits. With the improvements of the GaN HEMT technology, there is a constant need to characterize new devices and create predictive behavioral models. Building upon the existing methods of MESFET and HEMT modelling, an algorithm for GaN HEMT simulation was adapted to extract and reproduce the device's behavior in a wide range of operating points relevant to its subsequent usage as a pulsed-power switch, taking into account effects, such as self-heating, which significantly affect the function of transistors. The proposed algorithm attempts to reduce the number of measurements necessary to extract the crucial model parameters while retaining the model's functionality.


Postprint §
DOI: 10.5445/IR/1000188052
Veröffentlicht am 05.12.2025
Originalveröffentlichung
DOI: 10.1109/PPPS56198.2025.11248679
Cover der Publikation
Zugehörige Institution(en) am KIT Elektrotechnisches Institut (ETI)
Institut für Hochleistungsimpuls- und Mikrowellentechnik (IHM)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2025
Sprache Englisch
Identifikator ISBN: 979-8-3315-4376-1
KITopen-ID: 1000188052
HGF-Programm 38.05.01 (POF IV, LK 01) Anthropogenic Carbon Cycle
Erschienen in IEEE Pulsed Power and Plasma Science (PPPS 2025)
Veranstaltung IEEE Pulsed Power and Plasma Science Conference (PPPS 2025), Berlin, Deutschland, 15.06.2025 – 20.06.2025
Verlag Institute of Electrical and Electronics Engineers (IEEE)
Projektinformation SPP 2312, 462921712 (DFG, DFG KOORD, SA 4341/1)
Vorab online veröffentlicht am 28.11.2025
Schlagwörter Adaptation models, HEMTs, Predictive models, Prediction algorithms, MESFETs, Plasmas, Transistors, Integrated circuit modeling, MODFETs, Switching circuits
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