Enhanced stress relaxation of GaN epilayers on silicon (1 1 1) substrates with a unique AlN/GaN multilayer design

Hetero-epitaxial growth of gallium nitride (GaN) on silicon (Si) substrates remains a challenging task due to the significant mismatch of the thermal expansion coefficient between both materials. Such hetero-epitaxial growth typically results in high tensile stress for the GaN layer and hence micro-cracks upon cooling down. The present study attempts to mitigate this problem by introducing a unique aluminum nitride/gallium nitride multilayer (AlN/GaN ML) design as a new alternative method to promote stress relaxation in the overgrown GaN, hence reducing the cracks formation. Unlike conventional designs, the proposed AlN/GaN ML consists of AlN layers which are thicker than the GaN layers, giving a thickness ratio of 57%. Additionally, the impact of AlN/GaN pairs, specifically at 20, 40, 60, and 80 pairs on stress relaxation, dislocation density, and surface quality, was investigated. The results indicate that the AlN/GaN ML is effective in reducing the tensile thermal stress in the overgrown GaN layer, especially with 60 pairs. Accordingly, a low dislocation density with crack-free and smoother surface can be achieved. Increase in the AlN/GaN ML pairs to 80 resulted in micro-cracks on the surface. The GaN layer on Si substrate with the optimized AlN/GaN ML can serve as a beneficial template for realizing cracks-free III-nitrides-based semiconductor devices.

Authors

Institutions

Publication Details

Journal
Journal of Materials Science
Published
2025-07-16
DOI
https://doi.org/10.1007/s10853-025-10973-9
Citations
1
Primary Topic
GaN-based semiconductor devices and materials
Type
article
Field-Weighted Citation Impact
1.26

Funders

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

Enhanced stress relaxation of GaN epilayers on silicon (1 1 1) substrates with a unique AlN/GaN multilayer design

Mohd Nazri Abd Rahman, Ahmad Shuhaimi Abu Bakar, Norzaini Zainal, Yusnizam Yusuf
1 citations
Journal of Materials Science
GaN-based semiconductor devices and materials
1.26
article

Enhanced stress relaxation of GaN epilayers on silicon (1 1 1) substrates with a unique AlN/GaN multilayer design

Mohd Nazri Abd Rahman, Ahmad Shuhaimi Abu Bakar, Norzaini Zainal, Yusnizam Yusuf
article en
1 citations

Abstract

Hetero-epitaxial growth of gallium nitride (GaN) on silicon (Si) substrates remains a challenging task due to the significant mismatch of the thermal expansion coefficient between both materials. Such hetero-epitaxial growth typically results in high tensile stress for the GaN layer and hence micro-cracks upon cooling down. The present study attempts to mitigate this problem by introducing a unique aluminum nitride/gallium nitride multilayer (AlN/GaN ML) design as a new alternative method to promote stress relaxation in the overgrown GaN, hence reducing the cracks formation. Unlike conventional designs, the proposed AlN/GaN ML consists of AlN layers which are thicker than the GaN layers, giving a thickness ratio of 57%. Additionally, the impact of AlN/GaN pairs, specifically at 20, 40, 60, and 80 pairs on stress relaxation, dislocation density, and surface quality, was investigated. The results indicate that the AlN/GaN ML is effective in reducing the tensile thermal stress in the overgrown GaN layer, especially with 60 pairs. Accordingly, a low dislocation density with crack-free and smoother surface can be achieved. Increase in the AlN/GaN ML pairs to 80 resulted in micro-cracks on the surface. The GaN layer on Si substrate with the optimized AlN/GaN ML can serve as a beneficial template for realizing cracks-free III-nitrides-based semiconductor devices.

Journal of Materials ScienceVol. 60(29)
Universiti Sains Malaysia (MY), University of Malaya (MY)
Kementerian Sains, Teknologi dan Inovasi, Ministério da Ciência, Tecnologia e Inovação, Universiti Sains Malaysia, Core Research for Evolutional Science and Technology
Openalex Percentile: Top 19%
GaN-based semiconductor devices and materials
1.26
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.