Effective control of active interface traps in GaN HEMT epitaxial layers by stress tuning of SiN<i> <sub>x</sub> </i> passivation layers

Abstract This work reveals how the number of active interface trap states in an AlGaN/GaN epitaxial structure can be influenced by SiN x passivation without modifying the semiconductor/passivation interface. We compare the density of interface trap states for passivations comprising SiN x layers with different built-in compressive stresses of 46 MPa and 956 MPa. Metal–insulator–semiconductor capacitors were fabricated for electrical characterization. As the insulator we used a single and bi-layer stack of SiN x with two thicknesses—100 nm and 150 nm in total for each stack. Capacitance–voltage, capacitance–frequency and conductance–frequency measurements were performed. The extracted density of interface traps remained in the range from 2.6 × 10 11 cm −2 to 4.0 × 10 11 cm −2 for the structures with tested SiN x layers. These minor differences in the density of states do not indicate an advantage from any SiN x passivation stack variation used in our experiment. On the other hand, the trap activation electric field changed from 0.198 V nm −1 for single-layer to 0.277 V nm −1 for bi-layer passivation, thus reducing the trap interaction to the two-dimensional electron gas. We propose to use this effect as an effective method to control the active interface trap states in GaN-based transistors.

Authors

Institutions

Publication Details

Journal
Semiconductor Science and Technology
Published
2025-09-05
DOI
https://doi.org/10.1088/1361-6641/ae03e5
Primary Topic
GaN-based semiconductor devices and materials
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Effective control of active interface traps in GaN HEMT epitaxial layers by stress tuning of SiN x passivation layers

Enrico Brusaterra, Ina Ostermay, Oliver Hilt, Serguei Chevtchenko et al.
Semiconductor Science and Technology
GaN-based semiconductor devices and materials
article

Effective control of active interface traps in GaN HEMT epitaxial layers by stress tuning of SiN x passivation layers

Enrico Brusaterra, Ina Ostermay, Oliver Hilt, Serguei Chevtchenko, Dominik Sudau
article en

Abstract

Abstract This work reveals how the number of active interface trap states in an AlGaN/GaN epitaxial structure can be influenced by SiN x passivation without modifying the semiconductor/passivation interface. We compare the density of interface trap states for passivations comprising SiN x layers with different built-in compressive stresses of 46 MPa and 956 MPa. Metal–insulator–semiconductor capacitors were fabricated for electrical characterization. As the insulator we used a single and bi-layer stack of SiN x with two thicknesses—100 nm and 150 nm in total for each stack. Capacitance–voltage, capacitance–frequency and conductance–frequency measurements were performed. The extracted density of interface traps remained in the range from 2.6 × 10 11 cm −2 to 4.0 × 10 11 cm −2 for the structures with tested SiN x layers. These minor differences in the density of states do not indicate an advantage from any SiN x passivation stack variation used in our experiment. On the other hand, the trap activation electric field changed from 0.198 V nm −1 for single-layer to 0.277 V nm −1 for bi-layer passivation, thus reducing the trap interaction to the two-dimensional electron gas. We propose to use this effect as an effective method to control the active interface trap states in GaN-based transistors.

Semiconductor Science and TechnologyVol. 40(9)
Ferdinand-Braun-Institut (DE)
Bundesministerium für Bildung und Forschung
Openalex Percentile: Top 85%
GaN-based semiconductor devices and materials
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.