Towards engineered branch placement: Unreal™ match between vapour-liquid-solid glancing angle deposition nanowire growth and simulation

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DOIResolve DOI: http://doi.org/10.1063/1.4854535
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TypeArticle
Journal titleJournal of Applied Physics
ISSN0021-8979
Volume114
Issue24
Article number244304
SubjectBallistic deposition; Competitive growth; Crystallographic textures; Glancing Angle Deposition; Interactive Environments; Morphological characteristic; Nanowire growth; Predictive power; Film growth; Liquids; Motion pictures; Nanowires; Scanning electron microscopy; Textures; Vapors; Deposition
AbstractThe vapour-liquid-solid glancing angle deposition (VLS-GLAD) process is capable of producing complex nanotree structures with control over azimuthal branch orientation and height. We have developed a thin film growth simulation including ballistic deposition, simplified surface diffusion, and droplet-mediated cubic crystal growth for the VLS-GLAD process using the UnrealTM Development Kit. The use of a commercial game engine has provided an interactive environment while allowing a custom physics implementation. Our simulation's output is verified against experimental data, including a volumetric film reconstruction produced using focused ion beam and scanning-electron microscopy (SEM), crystallographic texture, and morphological characteristics such as branch orientation. We achieve excellent morphological and texture agreement with experimental data, as well as qualitative agreement with SEM imagery. The simplified physics in our model reproduces the experimental films, indicating that the dominant role flux geometry plays in the VLS-GLAD competitive growth process responsible for azimuthally oriented branches and biaxial crystal texture evolution. The simulation's successful reproduction of experimental data indicates that it should have predictive power in designing novel VLS-GLAD structures. © 2013 Crown.
Publication date
LanguageEnglish
AffiliationNational Research Council Canada (NRC-CNRC); Security and Disruptive Technologies
Peer reviewedYes
NPARC number21271802
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Record identifierbfb74c4a-e6b6-40d2-aa59-3f59b2027a81
Record created2014-04-22
Record modified2016-05-09
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