Back to results

Duke University

Lattice Engineering of III-Nitride Heterostructures and Their Applications

Abstract

dc:description.abstract

<p>III-Nitride materials have recently become a promising candidate for superior applications over the current technologies. However, certain issues such as lack of native substrates, and high defect density have to be overcome for further development of III-Nitride technology. This work presents research on lattice engineering of III-Nitride materials, and the structural, optical, and electrical properties of its alloys, in order to approach the ideal material for various applications. We demonstrated the non-destructive and quantitative characterization of composition modulated nanostructure in InAlN thin films with X-ray diffraction. We found the development of the nanostructure depends on growth temperature, and the composition modulation has impacts on carrier recombination dynamics. We also showed that the controlled relaxation of a very thin AlN buffer (20 ~ 30 nm) or a graded composition InGaN buffer can significantly reduce the defect density of a subsequent epitaxial layer. Finally, we synthesized an InAlGaN thin films and a multi-quantum-well structure. Significant emission enhancement in the UVB range (280 – 320 nm) was observed compared to AlGaN thin films. The nature of the enhancement was investigated experimentally and numerically, suggesting carrier confinement in the In localization centers.</p>

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Kong, Wei
Advisor dc:contributor.advisor
  • Brown, April Susan

Subjects

dc:subject × 6

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/10161/12195
OAI identifier oai:identifier
oai:dukespace.lib.duke.edu:10161/12195

Chain of custody

source
Harvested from
Duke University
Base URL
dukespace.lib.duke.edu/server/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Kong, Wei. Lattice Engineering of III-Nitride Heterostructures and Their Applications. 2016. https://hdl.handle.net/10161/12195