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Estatística
Título: OPTICAL CHARACTERIZATION AND OPTIMIZATION OF NANO AND 2D MATERIALS
Autor: YAN DALTON RODRIGUES MACHADO
Colaborador(es): ISABEL CRISTINA DOS SANTOS CARVALHO - Orientador
Catalogação: 25/MAR/2025 Língua(s): ENGLISH - UNITED STATES
Tipo: TEXT Subtipo: THESIS
Notas: [pt] Todos os dados constantes dos documentos são de inteira responsabilidade de seus autores. Os dados utilizados nas descrições dos documentos estão em conformidade com os sistemas da administração da PUC-Rio.
[en] All data contained in the documents are the sole responsibility of the authors. The data used in the descriptions of the documents are in conformity with the systems of the administration of PUC-Rio.
Referência(s): [pt] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=69751&idi=1
[en] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=69751&idi=2
DOI: https://doi.org/10.17771/PUCRio.acad.69751
Resumo:
The optical characterization and optimization of nano- and two-dimensional (2D) materials are fundamental for advancing photonic devices and applications. This dissertation is divided into four different investigations on optics and presents an integrated approach combining experimental and computational methods to investigate and enhance the optical properties of these materials. First, light scattering phenomena was explored using random laser systems and numerical simulations to determine the scattering efficiency of different natural nanomaterials for various applications such as phototherapy devices. Second, hyper-Rayleigh scattering (HRS) technique was employed to characterize the second-harmonic generation, revealing nonlinear optical responses of nanocrystals. Additionally, the optical behavior of transition metal dichalcogenides (TMDs) under external excitations, such as varying electric fields, was systematically studied, providing a deeper understanding of their tunable properties and degradation mechanism. Finally, the optimization of nanomaterials was addressed through the application of a multi-objective genetic algorithm (MOGA), enabling the identification of geometrical configurations with enhanced optical properties for plasmonic applications.
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