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Title: Computational explorations of enhanced nonlinearities and quantum optical effects in photonic nanostructures
Author: Ren, Qun
ISNI:       0000 0004 7970 7198
Awarding Body: UCL (University College London)
Current Institution: University College London (University of London)
Date of Award: 2019
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In this thesis, we present a comprehensive theoretical analysis and computataional study of optical nonlinearities in the graphene-based and silicon-based metamaterials. The novel numerical methods and corresponding results described in this work give a significant impact on our understanding of surface plasmon resonance in artificial optical materials, which facilitates the design and fabrication of new photonic devices with enhanced nonlinear optical functionalities. Two generic nonlinear metasurfaces are elaborated in this dissertation, namely, graphene-based metasurfaces and silicon-based metasurfaces. Employing a novel homogenization technique, the effective second-order susceptibility of graphene metasurfaces is calculated, which can be enhanced by more than two orders of magnitude as compared to the intrinsic value of graphene sheet. There is excellent agreement between the predictions of the homogenization method and those based on rigorous numerical solutions of Maxwell equations. Moreover, we also illustrate that the effective Raman susceptibilities of silicon-based metasurfaces can be enhanced by 3 to 4 orders of magnitude as compared to the intrinsic value of silicon. Even though the homogenization method for silicon-based metasurfaces is not as accurate as graphene-based, this result still gives a qualitative analysis on the effective Raman susceptibility of silicon-based metasurfaces. Additionally, the optical nonlinearity is utilized to design a two-mode quantum waveguide made of coupled silicon photonic crystal nanocavities in the last part of the thesis. Finally, we also explore the implications of our work to the development of new active photonic nano devices with new or improved functionalities.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available