Temperature dependence of crystal growth behavior of AlN on Ni–Al using electromagnetic levitation and computer vision technique

Masayoshi Adachi, Sonoko Hamaya, Daisuke Morikawa, Benjamin G. Pierce, Ahmad M. Karimi, Yuji Yamagata, Kenji Tsuda, Roger H. French, Hiroyuki Fukuyama

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Bulk AlN single crystal has a great demand as a substrate material for AlGaN-based optical and electronic devices such as deep ultraviolet light-emitting diodes and high-power transistors. We have previously proposed a novel solution-growth method using Ni–Al solution with an in-situ observation system for solution growth of AlN crystal using electromagnetic levitation. In this paper, to investigate AlN formation behavior on 40 mol%Al–Ni droplets, two precisely synchronized high-speed cameras from the horizontal and vertical directions were installed. AlN formation behavior was evaluated quantitatively using computer vision image processing techniques. Based on the results, we demonstrated the growth of thick AlN film at 2030 K for 1 h. A 3.8-μm-thick c-axis oriented AlN film successfully formed on the droplet, and the film was also oriented in-plane. The + c-direction AlN film grew towards the droplet center from the surface by reacting dissolved nitrogen and Al atoms.

Original languageEnglish
Article number107167
JournalMaterials Science in Semiconductor Processing
Volume153
DOIs
StatePublished - Jan 2023
Externally publishedYes

Funding

This work was supported by JSPS KAKENHI Grant Numbers 20H02633 and 20K21071 . The research was performed at the SDLE Research Center, which was established through funding by the Ohio Third Frontier, Wright Project Program Award tech 12–004. This work made use of the High Performance Computing Resource in the Core Facility for Advanced Research Computing at Case Western Reserve University.

FundersFunder number
Japan Society for the Promotion of Science20H02633, 20K21071

    Keywords

    • Aluminum nitride
    • Computer vision image processing
    • In-situ observation
    • Solution growth
    • Thermodynamics

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