In this paper we perform physical simulations of p-GaN gate HEMTs to study the time-dependent-gate-breakdown (TDGB) phenomenon when subject to constant-voltage stress (CVS). Leveraging on the advanced capabilities of Ginestra TCAD software, we show for the first time a simulation methodology able to model and explain the onset of gate breakdown experimentally measured in p-GaN gate HEMTs during a CVS. In our simulations we activate the thermochemical (TC) model for the defect generation which, due to a strongly field-dependent rate, creates traps in the p-GaN close to the gate contact, resulting in the gate current increase. We also perform a statistical analysis of this phenomenon and we show how, by adding randomization effects in the simulation, we can also reproduce the temporal dispersion of breakdown events.
TCAD Simulations of Degradation Mechanism in p-GaN Gate HEMTs under Gate Stress / De Ruvo, E., Guerrieri, S.D., Bonani, F., Cornigli, D., Larcher, L.. - ELETTRONICO. - (2026), pp. 1-6. (2026 IEEE International Reliability Physics Symposium (IRPS) Tucson (USA) 22-26 March 2026) [10.1109/irps61424.2026.11499242].
TCAD Simulations of Degradation Mechanism in p-GaN Gate HEMTs under Gate Stress
De Ruvo, Edoardo;Guerrieri, Simona Donati;Bonani, Fabrizio;
2026
Abstract
In this paper we perform physical simulations of p-GaN gate HEMTs to study the time-dependent-gate-breakdown (TDGB) phenomenon when subject to constant-voltage stress (CVS). Leveraging on the advanced capabilities of Ginestra TCAD software, we show for the first time a simulation methodology able to model and explain the onset of gate breakdown experimentally measured in p-GaN gate HEMTs during a CVS. In our simulations we activate the thermochemical (TC) model for the defect generation which, due to a strongly field-dependent rate, creates traps in the p-GaN close to the gate contact, resulting in the gate current increase. We also perform a statistical analysis of this phenomenon and we show how, by adding randomization effects in the simulation, we can also reproduce the temporal dispersion of breakdown events.| File | Dimensione | Formato | |
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IRPS 26.pdf
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https://hdl.handle.net/11583/3012008
