Optical Properties of Nanostructured Films Grown by Glancing Angle Deposition
Author
Hoppenz, Sophie
Term
4. semester
Education
Publication year
2023
Submitted on
2023-06-01
Pages
44
Abstract
Glancing angle deposition (GLAD) is a simple, one-step method that uses shadowing during deposition to grow nanometer-scale columns. These columns can support localized surface plasmon resonances (LSPR)—collective electron oscillations that interact strongly with light—making them useful for optical technologies, including sensing. In this study, we used GLAD to grow thin films of gold with columnar, rod-like structures. The gold was deposited on a silicon substrate with a 5 nm chromium layer to improve adhesion. We characterized both the linear optical response (by measuring reflectance) and the nonlinear response (by measuring second-harmonic generation, SHG) while systematically varying the nanorod orientation. The measurements were compared with theoretical models. We found that, beyond rod orientation, the optical response depends strongly on the polarization and the incidence angle of the incoming light.
Glancing angle deposition (GLAD) er en enkel, et-trins metode, der udnytter skyggeeffekter til at dyrke nanokolonner. Sådanne kolonner kan have lokaliserede overfladeplasmonresonanser (LSPR)—kollektive elektronsvingninger, der vekselvirker stærkt med lys—hvilket gør dem interessante til optiske teknologier, blandt andet sensorer. I dette arbejde brugte vi GLAD til at fremstille tynde film af guld med kolonneformede, stavlignende strukturer. Guldet blev aflejret på et siliciumunderlag med et 5 nm kromlag for bedre vedhæftning. Vi karakteriserede både den lineære optiske respons (ved at måle refleksion) og den ikke-lineære respons (ved at måle andenharmonisk generering, SHG), mens vi systematisk varierede nanostavenes orientering. Målingerne blev sammenlignet med teoretiske modeller, og vi fandt, at ud over stavorienteringen afhænger den optiske respons stærkt af lysets polarisering og indfaldsvinkel.
[This apstract has been rewritten with the help of AI based on the project's original abstract]
Keywords