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Collective plasmonic excitations in two- dimensional metamaterials based on near-field coupled metallic nanoparticles / Plasmons collectifs dans des métamatériaux bi-dimensionnels basés sur des nanoparticules métalliques couplées en champ procheFernique, François 18 July 2019 (has links)
L’étude des propriétés plasmoniques est un champ de recherche actuellement très actif. En particulier, la possibilité de manipuler la lumière à des échelles sub-longueur d’ondes rend ce domaine très attractif. Récemment, plusieurs études ont montré que les plasmons collectifs dans des méta-matériaux bi-dimensionnels constitués de nanoparticules métalliques se comportaient de manière similaire aux électrons dans les cristaux et partageaient certaines de leurs propriétés. Dans ce manuscrit, nous présentons une théorie unifiée permettant de décrire les propriétés de tels modes plasmoniques dans des réseaux ordonnés de géométrie arbitraires constitués de nanoparticules métalliques couplées en champ proche. En particulier, nous évaluons les taux de décroissance de ces modes ainsi que leurs décalages en fréquence afin de prédire leur observabilité expérimentale. / The study of plasmonic properties is one of the fields of research currently very active. In particular, the ability to manipulate light at subwavelength scales makes this subject very appealing. Recently, several studies have shown that collective plasmons in two-dimensional meta-materials based on metallic nanoparticles behave similarly to electrons in crystals and share some of their properties. In this manuscript, we present a unified theory for describing the properties of such modes in regular arrays of arbitrary geometries constituted by near-field coupled spherical nanoparticles. In particular, we have evaluated the linewidths of these modes as well as their frequency shifts in order to discussed their experimental observabilities.
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Metal-Oxide Nanocomposite for Tunable Physical PropertiesShikhar Misra (9132629) 05 August 2020 (has links)
<p>Understanding how light interacts
with the matter is essential for developing future opto-electronic devices.
Furthermore, tuning such light-matter interaction requires designing new
material platforms that is essential for developing devices which are functional
in different light wavelength regimes. Among these designs, particle-in-matrix,
multilayer or nanowire morphology, consisting of metal and dielectric materials,
have been demonstrated for achieving improved physical and optical properties,
such as ferroelectricity, ferromagnetism and negative refraction. For example,
Au-TiO<sub>2</sub> two phase nanocomposite has been explored in this
dissertation as a way of achieving enhanced photocatalysis. However, due to the
availability of a limited range of structures in terms of crystallinity and
morphology in the two-phase nanocomposites, a greater design flexibility and
structural complexity along with versatile growth techniques are needed for
developing next generation integrated photonic and electronic devices. This can
be achieved by incorporating a third phase through the three phase
nanocomposite designs by judicious selection of materials and functionalities. </p>
<p>In this dissertation, a new nanocomposite
design having three different phases has been introduced: Au, BaTiO<sub>3</sub>
and ZnO, which grow in a highly ordered ‘nanoman’-like structure. More
interestingly, the three phases in the novel ‘nanoman’-like structure combine
to give an emergent new property which are not found individually in the three
phases. The ordered ‘nanoman’-like structures enable a high degree of
tunability in their optical and electrical properties, including the hyperbolic
dispersion in the visible and near infrared regime, in addition to the
prominent ferroelectric/piezoelectric properties. Moreover, the growth kinetics
and the thermal stability (using in-situ Transmission Electron Microscopy) of
the ‘nanoman’ structures has also been studied. This study introduces a new
growth paradigm of fabricating three-phase nanocomposite that will surely generate
wide interests with potential applications to different systems. The ordered
three-phase ‘nanoman’ structures present enormous opportunities for novel
complex nanocomposite designs towards future optical, electrical and magnetic
property tuning.</p>
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Poisson Induced Bending Actuator for Soft Robotic SystemsHasse, Alexander, Mauser, Kristian 08 June 2022 (has links)
This paper deals with a novel active bending soft body that employs metamaterials and combines soft behavior, integrated actuation, low complexity and a high density of producible forces and moments. The presented concept consists of a tube-like structure with tailored, unconventional material properties which enable the generation of a bending deformation and/or moment when circumferential stress and/or strain is induced. Circumferential actuation can be generated by a difference in pressure between the internal and external surface of the tube or, alternatively, by distributed expansion actuators that act radially or tangentially (e.g. shape memory wires). In addition to an analytical model, this paper also presents a design procedure and deals with the implementation of the proposed concept in a functional prototype and its experimental characterization.
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Design and implementation of plasmonic metamaterials and devicesRodríguez Fortuño, Francisco José 18 July 2013 (has links)
La plasmónica es la ciencia que estudia la interacción, a escala nanométrica, entre la luz y los electrones libres de los metales, dando lugar a la propagación de ondas altamente confinadas a su superficie. La plasmónica tiene multitud de aplicaciones en nanotecnología, como son el sensado biológico y químico, espectroscopía, nanolitografía, comunicaciones de banda ultra ancha integradas en chips, nanoantenas para luz, filtrado, y manipulación de señales ópticas, entre muchas otras. Una de las aplicaciones más novedosas es la creación de metamateriales: estructuras artificiales diseñadas para controlar la propagación de la luz, con aplicaciones fascinantes como la lente perfecta o la capa de invisibilidad. La plasmónica y los metamateriales están al frente de la investigación actual en fotónica, gracias al auge de la nanotecnología y la nanociencia, que abre las puertas a una gran cantidad de nuevas aplicaciones.
Esta tesis, desarrollada en el Centro de Tecnología Nanofotónica de Valencia de la UPV, en colaboración con la University of Pennsylvania y King's College London, trata de aportar nuevas ideas, estructuras y dispositivos a los campos de la plasmónica y los metamateriales, tratando de realizar su fabricación y medida experimental cuando sea posible. La tesis no se ciñe a una única aplicación o dispositivo, sino que realiza una extensiva exploración de los diversos sub-campos de la plasmónica en busca de fenómenos novedosos. Los resultados descritos son los siguientes:
En el campo de los metamateriales de índice negativo se presentan dos estructuras: nanocables en forma de U, y guías coaxiales plasmónicas. En el campo del sensado plasmónico se presenta el diseño y la prueba experimental de un sensor se sustancias químicas de altas prestaciones con nanocruces metálicas. También se detallan teóricamente: un novedoso dispositivo para luz lenta e inversión temporal de pulsos basada en metamateriales y cristales fotónicos, un metamaterial para conversión de polarización sintonizable mediante pérdidas, un análogo plasmónico al efecto de levitación Meissner en superconductores y un método de reducción de pérdidas en guías plasmónicas mediante interferencia en guías multimodo. Por último se presenta teórica y experimentalmente un nuevo ejemplo fundamental de interferencia de campo cercano, logrando la excitación unidireccional de modos fotónicos ---ya sean plasmónicos o no--- mediante los campos cercanos de un dipolo circularmente polarizado. / Rodríguez Fortuño, FJ. (2013). Design and implementation of plasmonic metamaterials and devices [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/31207 / TESIS / Premios Extraordinarios de tesis doctorales
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Theoretical and Experimental Analysis of Topological Elastic WaveguidesTing-Wei Liu (12472668) 06 December 2022 (has links)
<p>The capability of manipulation of the flow of mechanical energy in the form of mechanical waves (including acoustic and elastic waves) has always been a challenge and a critical part in various areas of engineering. The recent advances in topological acoustic/elastic metamaterials certainly open a new pathway to the manipulation of mechanical waves, especially for the novel scattering-immune wave-guiding capability, even in the presence of defects, disorders or sharp bends along the waveguide. In this Dissertation, the theoretical background and experimental evidence of various types of elastic-wave topological metamaterials including analogues to 2D quantum valley Hall effect (QVHE) materials, 2D quantum spin Hall effect (QSHE) topological insulators are presented. First, the formulation the elastic-wave analogue to QVHE materials in a general continuous elastic phononic structure (not limited to local resonant lattices, filling the gap in the literature) is proposed, and a strategy using pressurized cells to actively control the phononic lattice is presented. By finite prestrain and geometric nonlinear effect, the space inversion symmetry of the original hexagonal lattice is broken, resulting in distinct QVHE phases (characterized by valley Chern numbers) in lattice domains with opposite pressurization. With such mechanism, the edge-state path, i.e., the domain wall connecting lattices with distinct QVHE phases, can be real-time configured. Further more, edge states with tunable frequency-wavenumber dispersion can be created at the external boundaries of the lattice by appropriate pressurization of the outermost cells. An aluminum reticular sheet built with water-jet cutting is machined in the pre-deformed pattern with a Z-shape domain wall at the center, which spatially divides the sheet into two domains with opposite QVHE phases. Using piezoelectric transducers and laser Doppler vibrometry, the measured harmonic and transient responses confirm the back-scattering-immunity of the topological edge states, and the frequency-wavenumber dispersion matches the numerical prediction. A strategy is proposed for unidirectionally generating edge states along the domain wall using two off-phase transducers, which is also experimentally demonstrated. For elastic-wave analogue to QSHE topological insulators, we focus on the ``zone-folding'' method and propose a honeycomb 2D elastic beam network with periodically altered thickness with a generalized Kekule distortion pattern. Such framework provides a parametric space with exhaustive control in the topological phase diagram of waves in the lattice compared to earlier works in the literature. The effective Hamiltonian as well as the characterized topological phase are gauge dependent, particularly they change with different reference frames. This lead to ambiguity in the topological phase of such phononic crystal. Based on this argument, it is predicted that edge states could exist at a dislocation interface connecting two piece of phononic structures of the same pattern with relative displacement. Following the same idea, but considering the available fabrication options, a phononic plate with honeycomb groove pattern engraved on both sides is built, which the depth varied according to the Kekule pattern. With proper tuning of the parameters, it realizes an analogue to the QSHE topological insulator. With <em>ab initio</em> calculation of the Berry curvature (without involving any approximations such as the perturbative approach), a new topological invariant <em>local topological charge</em> is defined and evaluated as the counterpart of the Z<sub>2</sub> invariant in the classical-wave-zone-folding analogue. The local topological charge has intrinsic ambiguity and its value depends on the selected reference frame. However, its <em>change </em>according to changes in the parameters, under a consistent reference frame, is well-defined. Given the fact that shifting the reference frame by certain fractions of a lattice constant was equivalent to changing one of the parameters by a certain amount, it also lead to a well-defined change in the local topological charge, which indicates topological phase transition, and one can predict the existence of edge states at the displacement-dislocation interface between two neighboring lattices having the same pattern up to a rigid-body shifting. The phononic plate is machined by a CNC mill, and the experiment is carried out using piezoelectric transducers and laser Doppler vibrometry, which confirms the existence and robustness of the topological edge states at such dislocation interface connecting identical pattern, which was unprecedented in both quantum and classical systems. The final part of this Dissertation focuses on creating classical mechanical analogues to the 1D Kitaev superconducting model and Majorana-like bound states aimed at future acoustic-wave based computation.</p>
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Analysis of nonlinear metamaterials and metastructures for mitigation and control of elastic wavesAloschi, Fabrizio 10 May 2023 (has links)
The mechanical and structural engineering community are increasingly resorting to the use of periodic metamaterials and metastructures to mitigate high amplitude vibrations; and nonlinearities are also an active area of research because they potentially provide different methods for controlling elastic waves. While the theory of propagation of linear elastic waves seems to be fairly complete and has led to remarkable discoveries in a variety of disciplines, there is still much to investigate about nonlinear waves, both in terms of their dispersion analytical description and their numerical characterization. This thesis mainly relies on the latter aspect and focuses on the analysis of nonlinear metamaterials and metastructures for both the mitigation and control of elastic waves. In particular, the thesis covers four main topics, each associated with a different nonlinearity: i) dispersion curves and mechanical parameters identification of a weakly nonlinear cubic 1D locally resonant metamaterial; ii) manipulation of surface acoustic waves (SAWs) through a postbuckling-based switching mechanism; iii) seismic vibration mitigation of a multiple-degrees-of-freedom (MDoF) system, the so-called metafoundation, by means of hysteretic nonlinear lattices; iv) seismic vibration mitigation of a periodic coupled system pipeline-pipe rack (PPR), by means of a vibro-impact system (VIS). To identify the dispersion curves of a cubic nonlinear 1D locally resonant metamaterial, a simple experimentally-informed reference subsystem (RS) which embodies the unit cell is employed. The system identification relies on the Floquet--Bloch (FB) periodic conditions applied to the RS. Instead, the parametric identification is carried out with a revised application of the subspace identification (SSI) method involving harmonic, non-persistent excitation. It is remarkable that the proposed methodology, despite the linearization caused by the FB boundary conditions, is responsive to the amplitude of the excitation that affects the dispersion curves. The FB theorem, in fact, is often adopted to reduce the computational burden in calculating the dispersion curves of metamaterials. In contrast, the experimental dispersion reconstruction requires multiple velocity measurements by means of laser Doppler vibrometers (LDVs), as for the case of SAWs. To manipulate SAWs, a proof-of-concept experiment was performed for a postbuckling-based mechanical switching mechanism. Precompressed beams are periodically arranged on one face of an elastic plate to manipulate the dispersion of the SAWs propagating as edge waves. By compressing the columns over their Euler critical load, in fact, it is possible to manipulate the surface wave dispersion: the dispersion curve’s dispersive branches, originally caused by the beams in the undeformed configuration, are cleared, and the original path of the group velocity is restored. This concept is introduced analytically and numerically in this thesis, and a novel device is proposed for controlling the SAWs. With regard to the mitigation of seismic waves, this thesis presents the application of two nonlinear dissipative devices to periodic components and structures of industrial facilities. Firstly, a finite locally resonant metafoundation of an MDoF fuel storage tank is equipped with fully nonlinear hysteretic devices to mitigate absolute accelerations and displacements in the low-frequency regime. Secondly, for mitigating the vibrations in PPRs, spatial periodicity and internal damping are combined to obtain an enhancement in the attenuation rate of the system. At the same time, the seismic performance of the PPR is improved by means of an external nonlinear VIS. These investigations show the characterization of the structures’ responses due to the stochastic nature of the input; and for the case of the VIS, a chaotic behavior is sometimes observed and demonstrated. In conclusion, this thesis investigates the nonlinear response of different periodic structures and their potential for wave control and mitigation in various applications. The results of this research contribute to the understanding of the nonlinear behavior of these periodic structures and provide insights into the design, the optimization, and the identification of metamaterials and metastructures performance.
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Optimization and Supervised Machine Learning Methods for Inverse Design of Cellular Mechanical MetamaterialsLiu, Sheng 22 May 2024 (has links)
Cellular mechanical metamaterials (CMMs) are a special class of materials that consist of microstructural architectures of macroscopic hierarchical frameworks that can have extraordinary properties. These properties largely depend on the topology and arrangement of the unit cells constituting the microstructure. The material hierarchy facilitates the synthesis and design of CMMs on the micro-scale to achieve enhanced properties (i.e., improved strength, toughness, low density) on the component (macro)-scale. However, designing on-demand cellular metamaterials usually requires solving a challenging inverse problem to explore the complex structure-property relations. The first part of this study (Ch. 3) proposes an experience-free and systematic design methodology for microstructures of CMMs using an advanced stochastic searching algorithm called micro-genetic algorithm (μGA). Locally, this algorithm minimizes the computational expense of the genetic algorithm (GA) with a small population size and a conditionally reduced parameter space. Globally, the algorithm employs a new search strategy to avoid local convergence induced by the small population size and the complexity of the parameter space. What's more, inspired by natural evolution in the GA, this study applies the inverse design method with the standard GA (sGA) as a sampling algorithm for intuitively mapping material-property spaces of CMMs, which requires the selection of objective properties and stochastic search of property points within the property space. The mapping methodology utilizing the sGA is proposed in the second part of the study (Ch. 4). This methodology involves a robust strategy that is shown to identify more comprehensive property spaces than traditional mapping approaches. The resulting property space allows designers to acknowledge the limitations of material performance, and select an appropriate class of CMMs based on the difficulty of the realization and fabrication of their microstructures. During the fabrication process, manufacturing defects cause uncertainty in the microstructures, and thus the structural properties. The third part of the study (Ch. 5) investigates the effects of the uncertainty stemming from manufacturing defects on the material property space. To accelerate the uncertainty quantification (UQ) via the Monte Carlo method, this study utilizes a machine learning technique to bypass the expensive simulations to compute properties. In addition to reducing the computational expense of the simulations, the deep learning method has been proven to be practical to accomplish non-intuitive design tasks. Due to the numerous combinations of properties and complex underlying geometries of metamaterials, it is numerically intractable to obtain optimal material designs that satisfy multiple user-defined performance criteria at the same time. Nevertheless, a deep learning method called conditional generative adversarial networks (CGANs) is capable of solving this many-to-many inverse problem. The fourth part of the study (Ch. 6) proposes a new inverse design framework using CGANs to overcome this challenge. Given combinations of target properties, the framework can generate a group of geometric patterns providing these target properties. Therefore, the proposed strategy provides alternative solutions to satisfy on-demand requirements while increasing the freedom in the fabrication process. Besides, with the advances in additive manufacturing (AM), the design space of an engineering material can be further enlarged by multi-scale topology optimization. As the interplay between microstructure and macrostructure drives the overall mechanical performance of engineering materials, it is necessary to develop a multi-scale design framework to optimize structural features in these two scales simultaneously. The final part of the study (Ch. 7) presents a concurrent multi-scale topology optimization method of CMMs. Structures in micro and macro scales are optimized concurrently by utilizing sequential quadratic programming (SQP) with the Solid Isotropic Material with Penalization (SIMP) method and a numerical homogenization approach. / Doctor of Philosophy / Cellular materials widely exist in natural biological systems such as honeycombs, bones, and wood. Recent advances in additive manufacturing have enabled us to fabricate these materials with high precision. Inspired by architectures in nature, cellular mechanical metamaterials (CMMs) have been introduced recently as a new class of architected systems. The materials are formed by hierarchical microstructural topologies, which have a decisive influence on the structural performance at the macro-scale. Therefore, the design of these materials primarily focuses on the geometric arrangement of their microstructures rather than the chemical composition of their base material. Tailoring the microstructures of these materials can lead to several outstanding features, such as high stiffness and strength, low density, and high energy absorption. However, it is challenging to design microstructures that satisfy user-defined requirements for properties and material costs. This is mainly due to the trade-off between the accuracy and computing times of the optimization process. In the first part of this study (Ch. 3), a design framework is proposed to overcome this issue. The framework employs a global search algorithm called the genetic algorithm (GA). With a newly designed search algorithm, the framework reduces errors between target and optimized material properties while improving computational efficiency. Inspired by the algorithm behind the GA, the second part of the study (Ch. 4) employs a similar algorithm to identify a material property chart demonstrating all possible combinations of mechanical properties of CMMs. Each axis of the material property chart corresponds to a selected mechanical property, such as Young's modulus or Poisson's ratio, along different directions. The boundary of the property space helps designers understand material performance limitations and make informed decisions in engineering practices. In the fabrication process, unexpected material properties might be achieved due to defects and tolerances in additive manufacturing (AM), such as uneven surfaces, shrinkage of pores, etc. The third part of the study (Ch. 5) investigates the uncertainty propagation on mechanical properties as a result of these manufacturing defects. To investigate the uncertainty propagation problem efficiently, the study uses a deep learning method to predict the variations (stochasticity) of properties. Consequently, the material property space boundary also varies with the uncertainty of properties. In addition to their computational efficiency, deep learning methods are beneficial for solving many-to-many inverse design problems. Traditionally, the global and local search/optimization methods retrieve alternative optimal solutions in their Pareto front set, where each solution is considered to be equally good. A deep learning method called conditional generative adversarial networks (CGANs) can bypass the property calculation to accelerate the simulation process while obtaining a group of candidates with on-demand properties. The fourth part of the study (Ch. 6) employs CGANs to build a new inverse design framework to increase flexibility in the fabrication process by generating alternative solutions for the microstructures of CMMs. Besides, as fabrication technologies have advanced, designing engineering systems has become increasingly complex. Material design is now not only focused on meeting micro-scale requirements but also addressing needs at multiple scales. The interaction between the microstructure (small-scale) and macrostructure (large-scale) significantly influences the overall performance of engineering systems. To optimize structures effectively, there is a need for a design framework that considers these two scales simultaneously. Thus, the final part of the study (Ch. 7) introduces a method called concurrent multi-scale topology optimization. To obtain the extreme performance of a multi-scale structure, this approach optimizes its structure at both micro- and macro-scales concurrently, using gradient-based optimization algorithms with density-based property determination methods in the two scales.
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Engineering three-dimensional extended arrays of densely packed nano particles for optical metamaterials using microfluidIque evaporationIazzolino, Antonio 19 December 2013 (has links) (PDF)
1-Microevaporation - Microfluidics is the branch of fluid mechanics dedicated to the study of flows in the channel withdimensions between 1 micron and 100 micron. The object of this chapter is to illustrate the basicprinciples and possible applications of microfluidic chip, called microevaporator. In the first part ofthe chapter, we present a detailed description of the physics of microevaporators using analyticalarguments, and describe some applications. In the second part of the chapter, we present theexperimental protocol of engineering of micro evaporator and different type of microfluidics device.2- On-chip microspectroscopy - The object of this chapter is to illustrate a method to measure absorption spectra during theprocess of growth of our materials in our microfluidic tools. The aim is to make an opticalcharacterization of our micro materials and to carry-out a spatio-temporal study of kineticproperties of our dispersion under study. This instrumental chapter presents the theoretical basis !of the method we used.3-Role of colloidal stability in the growth of micromaterials - We used combined microspectroscopy and videomicroscopy to follow the nucleation and growth ofmaterials made of core-shell Ag@SiO2 NPs in micro evaporators.!We evidence that the growth is actually not always possible, and instead precipitation may occurduring the concentration process. This event is governed by the concentration of dispersion in thereservoir and we assume that its origin come from ionic species that are concentrated all togetherwith the NPs and may alter the colloidal stability en route towards high concentration. 4-Microfluidic-induced growth and shape-up of three-dimensional extended arrays of denselypacked nano particles - In this chapter I present in details microfluidic evaporation experiments to engineer various denselypacked 3D arrays of NPs.5-Bulk metamaterials assembled by microfluidic evaporation - In this chapter I introduced the technique we used (microspot ellipsometry) in close collaborationswith V.Kravets and A.Grigorenko(University of Manchester) and with A.Aradian, P.Barois, A.Baron,K.Ehrhardt(CRPP, Pessac) to characterized the solids made of densely packed NPs. I describe theconstraints that emerge from the coupling between the small size of our materials and the opticalrequirements, the analysis and interpretation of the ellipsometry experiments show that for thematerial with high volume fraction of metal exists the strong electrical coupling between the NPsand the materials display an extremely high refraction index in the near infra-red regime.
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Elaboration et caractérisation de films composites métal/diélectrique nanostructurés pour une application aux métamatériauxMalassis, Ludivine 26 November 2012 (has links)
Les métamatériaux électromagnétiques sont des composites artificiels, constitués de résonateurs etayant des propriétés optiques n’existant pas à l’état naturel. Cette thèse est consacrée à lafabrication et caractérisation de tels matériaux. Pour cela des particules métalliques coeur-écorce(d’or ou d’argent enrobées de silice) sont assemblées par la technique de Langmuir-Blodgett afin deformer des réseaux denses en monocouche et en multicouches. Ces nanoparticules jouent le rôle derésonateurs grâce à la présence de la résonance plasmon et l’écorce de silice permet de contrôler ladistance entre particules. Nous avons ainsi réalisé des matériaux dont la distance entre lesrésonateurs et la fraction métallique varient. Les analyses spectro-photométriques des films obtenus,notamment en réflexion normale, nous ont permis d’extraire les propriétés optiques de nosmatériaux. Pour cela nous avons proposé un modèle phénoménologique dans lequel nousdéfinissons la permittivité de la couche effective comme étant celle de la matrice à laquelle s’ajouteun oscillateur de Lorentz décrivant la présence d’une résonance plasmon. Nous avons pu ainsimontrer expérimentalement qu’il était possible d’obtenir des métamatériaux d’indice de réfractioninférieur à 1 quand la fraction de métal dans le matériau est suffisamment importante. / Electromagnetic metamaterials are artificial composites, containing resonators and exhiniting opticalproperties which do not exist in a natural state. This thesis is dedicated to the manufacturing and thecharacterization of such materials. Metallic core-shell particles (gold or silver core coated with a silicashell) are assembled by the Langmuir-Blodgett technique to form dense monolayer and multilayernetworks. These nanoparticles play the role of resonators thanks to the presence of the plasmonresonance of the core whereas the silica shell allows a fine control of the distance between themetallic particles. We realized materials whose distance between resonators and metallic fractionvary. The spectrophotometric analyses, in particular reflection at normal incidence, allowed us toextract the optical properties of the materials. We proposed a phenomenological model in which wedefine the permittivity of the effective layer as the permittivity of a homogenous matrix to which aLorentz oscillator is added to describe the presence of the plasmon resonance. We were able toshow experimentally metamaterials with refractive index lower than 1 can be obtained when thefraction of metal in the material is important enough.
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Etude et réalisation d'antennes ultra-compactes à base de métamatériaux : Application à la réalisation d'une antenne GNSS miniature / Design and ptototyping of a metamaterial ultra-compact antenna : Application to a small GNSS antennaPigeon, Mélusine 28 November 2011 (has links)
Nous proposons d'explorer dans le cadre de la thèse des solutions originales permettant d'obtenir des caractéristiques de rayonnement peu dépendantes du support de l'antenne. Les antennes étudiées et conçues visent à être utilisées pour des applications GNSS et plus précisément pour des applications multi-bandes du GNSS. Nous les développerons donc en respectant un cahier des charges associé. Deux axes de recherche indépendants sont explorés. Le premier montre les propriétés naturelles d'une antenne composée de plusieurs structures rayonnantes. Nous associons ainsi une structure hélicoïdale équivalente à un dipôle magnétique et un plan métallique équivalent à un dipôle électrique. La taille et les performances de l'antenne ainsi réalisée sont comparables par bien des aspects aux antennes que l'on trouve actuellement dans le commerce pour les applications GNSS. L'antenne réalisée est une antenne mono-bande en polarisation rectiligne ; ce qui n'est pas en accord avec les spécifications de l'application envisagée. Pour compléter cette première étude et satisfaire les exigences d'applications GNSS multi-bandes, nous nous orientons vers une autre technologie qui est exposé dans le second axe. Dans le second axe, nous associons une antenne électrique et un plan réflecteur particulier : une Surface Haute Impédance. L'association de ces deux éléments permet en théorie de réduire l'épaisseur qu'aurait un dispositif classique composé d'une antenne électrique et d'un plan réflecteur métallique. Nous commençons donc par étudier la particularité du plan réflecteur choisi, c'est-à-dire la Surface Haute Impédance. Cette surface étant composé de motifs périodiques nous étudierons le motif qui permet d'obtenir les caractéristiques les plus proches de celles de l'application visée. Nous débutons par une étude en monobande suivi de l'étude d'un motif bi-bande. Le motif mono-bande conçu en simulation présente une très bonne bande-passante (13%) au vue de sa taille minimale (2,5mm). Le motif bi-bande réalisé par imbrication de motifs mono-bande permet d'obtenir en simulation des performances conformes aux attentes dans deux bandes GNSS choisies. L'étude de cette surface se poursuit par une phase de mesure. Le but de l'étude étant de pouvoir placer une antenne au-dessus de la surface fabriquée, une collection d'antennes sera développée afin de régler la surface haute impédance et dans le même temps de tester le dispositif complet. Ainsi dans un premier temps, nous utiliserons des dipôles pour tester et régler la Surface Haute Impédance. Dans cette partie le couplage entre l'antenne et la surface haute impédance placée en-dessous sera notamment étudié. Dans un deuxième temps, afin d'obtenir une polarisation circulaire nous utiliserons d'autres antennes supportant cette polarisation (dipôle croisé et spirale). Dans chaque phase de mesure, le réglage antenne et Surface Haute Impédance sera optimisé et divers paramètres de réglage seront identifiés. Pour les deux axes de recherche, ce sont non seulement le rayonnement que nous cherchons à maîtriser mais aussi la taille de la structure. Ainsi les structures réalisées sont les plus compactes possibles surtout en terme de finesse. Nous concluons sur les performances des antennes réalisées par rapport au cahier des charges et aux autres antennes existantes et exposons les perspectives du travail réalisé / In this thesis, original solutions are proposed for antennas not sensitive to their environment. These antennas are designed for GNSS applications and more precisely for multi-bands ones. So the solutions are developed keeping in mind the GNSS specifications. Two different research axis are discussed. The first one deals with the natural properties of an antenna composed of different radiating structures. So an helix structure is associated with a metallic plate. The specifications of this antenna are in line with the ones of commercial antennas. Nevertheless, this antenna is only one band and in linear polarization which is not conform to the GNSS specifications. To satisfy these specifications a second axis is developed. In this second axis an electric antenna is associated with a specific reflector : a High Impendance Surface. Theorically, this surface allows to place the antenna very close and so reduce the thickness of the whole structure without disturbing the radiation of the antenna. Firstly, the High Impendance Surface and more precisely its periodic patterns is studied. Both one band and dual-band pattern are designed. The one band pattern has a good bandwidth (13%) compared to its size (2,5mm). The dual-band pattern designed by pattern enclosing realized the GNSS specifications in simulation. This is followed by measures. The aim of the thesis is to place the antenna above the designed HIS so a lot of antennas are designed to test and tune the surface. Firstly dipoles are used to study the coupling effects and secondly circular polarized antenna are used to reach the GNSS specifications. For both axis, the radiation pattern and the size of the whole system is optimized. So the proposed solutions are the thinnest ones. To conclude the characteristics of the proposed structures are compared to specifications and to existing antennas and future work is proposed
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