O estudo de Teoria de Jogos tem se expandido para diversas áreas, tendo sua aplicação inicial na economia, hoje é utilizado na psicologia, na filosofia e tem um papel importantíssimo na biologia evolutiva. O seu sucesso está ligado ao fato de que os jogos têm o poder de prever interações usando conceitos simples como a cooperação e a competição. Dentre os jogos há o famoso de Dilema do Prisioneiro (PD), em que indivíduos completamente racionais devem optar entre cooperar ou trair (desertar) seu companheiro de jogo. A estratégia dominante e o equilíbrio de Nash, para o PD, é a deserção mútua visto que os indivíduos são sempre tentados a não cooperar. O dilema é que eles obteriam um ganho melhor se cooperassem mutuamente. Na vida real os indivíduos se encontram em várias situações nas quais eles devem optar entre ser egoístas ou altruístas e, frequentemente, acabam optando pelo altruísmo. Mesmo com a previsão da deserção na teoria clássica dos jogos, em 1992 Nowak e May (NOWAK; MAY, 1992) mostraram que cooperação é mantida em jogos com interação espacial e evolutivos A partir dessa descoberta, estudos de jogos em diversos tipos de rede foram propostos, entre eles as redes diluídas (que possuem sítios vacantes). Nesse tipo de rede foi observado que certas densidades favorecem a cooperação, particularmente próximo ao limiar de percolação para regras de atualização estocásticas (com ruído). Porém a probabilidade de troca do Replicador, mesmo sendo estocástica, não se encaixa nesse padrão observado. Descobrimos que esse comportamento anômalo está relacionado com estruturas formadas entre buracos e desertores que impedem alguns indivíduos de ter acesso ao ruído, assim a informação não flui livremente na rede. Consequentemente o sistema fica preso em um estado congelado, que pode ser quebrado com algum tipo de perturbação. Também abordamos a relação entre o limiar de percolação por sítio e a cooperação de uma forma mais quantitativa do que já foi apresentada até então, acompanhamos o desenvolvimento da cooperação dentro dos clusters e mostramos como o limiar de percolação afeta as estruturas básicas da rede. / The study of Game Theory, having its initial application in economics, has expanded to several areas and is now used in psychology, philosophy and plays a major role in evolutionary biology. Its success is related to the fact that games have the power to predict and study interactions using simple concepts such as cooperation and competition. Among the games there is the famous Prisoner Dilemma (PD), where completely rational individuals have to choose between cooperating or betraying their game partner. The dominant strategy and the Nash equilibrium for PD is mutual desertion as individuals are always tempted to not cooperate. The dilemma is that they would get a higher payoff if they mutually cooperated. In real life, individuals find themselves in various situations where they must choose to be selfish or altruistic, and often they choose altruism. Even with the prediction of defection in classical game theory, in 1992, Nowak and May (NOWAK; MAY, 1992) showed that cooperation is maintained in evolutionary spatial games. With this discovery, the study of games on several types of networks was proposed, among them the diluted networks (which have vacant sites) In this type of lattice, it was observed that at certain densities cooperation is promoted, particularly close to the percolation threshold for stochastic updating rules. However, the exchange probability of the Replicator dynamics, despite being stochastic, does not obey this observed pattern. We found that this anomalous behavior is related to structures formed between holes and defectors that prevent some individuals from having access to noise, so information does not flow freely in the network. Consequently the system becomes trapped in a frozen state, but this state can be broken by perturbing the system. We also address the relationship between the percolation threshold and cooperation in a more quantitative way than has been presented lately, by following the development of cooperation within clusters and showing how the percolation threshold affects the basic structures of the lattice.

O estudo de Teoria de Jogos tem se expandido para diversas áreas, tendo sua aplicação inicial na economia, hoje é utilizado na psicologia, na filosofia e tem um papel importantíssimo na biologia evolutiva. O seu sucesso está ligado ao fato de que os jogos têm o poder de prever interações usando conceitos simples como a cooperação e a competição. Dentre os jogos há o famoso de Dilema do Prisioneiro (PD), em que indivíduos completamente racionais devem optar entre cooperar ou trair (desertar) seu companheiro de jogo. A estratégia dominante e o equilíbrio de Nash, para o PD, é a deserção mútua visto que os indivíduos são sempre tentados a não cooperar. O dilema é que eles obteriam um ganho melhor se cooperassem mutuamente. Na vida real os indivíduos se encontram em várias situações nas quais eles devem optar entre ser egoístas ou altruístas e, frequentemente, acabam optando pelo altruísmo. Mesmo com a previsão da deserção na teoria clássica dos jogos, em 1992 Nowak e May (NOWAK; MAY, 1992) mostraram que cooperação é mantida em jogos com interação espacial e evolutivos A partir dessa descoberta, estudos de jogos em diversos tipos de rede foram propostos, entre eles as redes diluídas (que possuem sítios vacantes). Nesse tipo de rede foi observado que certas densidades favorecem a cooperação, particularmente próximo ao limiar de percolação para regras de atualização estocásticas (com ruído). Porém a probabilidade de troca do Replicador, mesmo sendo estocástica, não se encaixa nesse padrão observado. Descobrimos que esse comportamento anômalo está relacionado com estruturas formadas entre buracos e desertores que impedem alguns indivíduos de ter acesso ao ruído, assim a informação não flui livremente na rede. Consequentemente o sistema fica preso em um estado congelado, que pode ser quebrado com algum tipo de perturbação. Também abordamos a relação entre o limiar de percolação por sítio e a cooperação de uma forma mais quantitativa do que já foi apresentada até então, acompanhamos o desenvolvimento da cooperação dentro dos clusters e mostramos como o limiar de percolação afeta as estruturas básicas da rede. / The study of Game Theory, having its initial application in economics, has expanded to several areas and is now used in psychology, philosophy and plays a major role in evolutionary biology. Its success is related to the fact that games have the power to predict and study interactions using simple concepts such as cooperation and competition. Among the games there is the famous Prisoner Dilemma (PD), where completely rational individuals have to choose between cooperating or betraying their game partner. The dominant strategy and the Nash equilibrium for PD is mutual desertion as individuals are always tempted to not cooperate. The dilemma is that they would get a higher payoff if they mutually cooperated. In real life, individuals find themselves in various situations where they must choose to be selfish or altruistic, and often they choose altruism. Even with the prediction of defection in classical game theory, in 1992, Nowak and May (NOWAK; MAY, 1992) showed that cooperation is maintained in evolutionary spatial games. With this discovery, the study of games on several types of networks was proposed, among them the diluted networks (which have vacant sites) In this type of lattice, it was observed that at certain densities cooperation is promoted, particularly close to the percolation threshold for stochastic updating rules. However, the exchange probability of the Replicator dynamics, despite being stochastic, does not obey this observed pattern. We found that this anomalous behavior is related to structures formed between holes and defectors that prevent some individuals from having access to noise, so information does not flow freely in the network. Consequently the system becomes trapped in a frozen state, but this state can be broken by perturbing the system. We also address the relationship between the percolation threshold and cooperation in a more quantitative way than has been presented lately, by following the development of cooperation within clusters and showing how the percolation threshold affects the basic structures of the lattice.

Les biomatériaux interviennent dans de nombreuses applications médicales. La connaissance de leur évolution une fois implantés dans l’organisme est primordiale pour les améliorer et en créer de nouveaux. Dans cette optique, nous avons réalisé une modélisation à deux dimensions de la transformation d’un biomatériau en os. Pour cette modélisation, nous utilisons la théorie de la percolation. Celle-ci traite de la transmission d’information à travers un milieu où sont distribués un très grand nombre de sites pouvant localement relayer cette information. Nous présentons un modèle de double percolation sites-liens, pour prendre en compte d’une part la vascularisation (et/ou résorption) du biomatériau de l’implant dans un os, et d’autre part sa continuité mécanique. Nous identifions les paramètres pertinents pour d´écrire l’implant et son évolution, qu’ils soient d’origine biologique, chimique ou physique. Les différents phénomènes sont classés suivant deux régimes, percolant ou non-percolant, qui rendent compte des phases avant et après vascularisation de l’implant. Nous avons testé notre simulation en reproduisant les données expérimentales obtenues pour des implants de corail. Nous avons réalisé une étude des différents paramètres de notre modèle, pour déterminer l’influence de ceux-ci sur chaque phase du processus. Cette simulation est aussi adaptable à différents systèmes d’implants. Nous montrons la faisabilité d’une modélisation à trois dimensions en transposant la partie statique de notre simulation. / Biomaterials play an important role in many medical applications. To know how they evolve once inserted in the human body is essential to improve them and to create new ones. For this purpose, we have elaborated a two dimensional model for the transformation of biomaterial into bone. For this model, we have used the percolation theory. This general theory accounts for the transmision of information across an environment in wich a huge number of sites relay localy this piece of information. We present a double site-bond percolation model to account, on the one hand, for the vascularization (and/or resorption) of biomaterial implant in bones and, on the other hand, for its mechanical continuity. We identify the relevant parameters to describe the implant and its evolution, and separate their biological or chimical origin from their physical one. We classify the various phenomena in two regimes, percolating or non-percolating, which concern the two stages before and after the vascularization of the implant. We have tested our simulation by comparing them with experimental results obtained withcoral implants. We have studied how the various parameters of our model can influence each stage of the process. This simulation can also be applied to different types of implants. We show that a three dimensional model is possible by transposing the static part of our simulation.

The first part of the study deals with the preparation of carbon nanotube/polymer nanocomposite materials. The dispersion of multi-walled carbon nanotubes (MWNTs) using trifluoroacetic acid (TFA) as a co-solvent and its subsequent use in polymer nanocomposite fabrication is reported. The use of carbon nanotube/ polymer nanocomposite system for the fabrication of organic solar cells is also studied. TFA is a strong but volatile acid which is miscible with many commonly used organic solvents. Our study demonstrates that MWNTs can be effectively purified and readily dispersed in a range of organic solvents including dimethyl formamide (DMF), tetrahydrofuran (THF), and dichloromethane when mixed with 10 vol% trifluoroacetic acid (TFA). X-ray photoelectron spectroscopic analysis revealed that the chemical structure of the TFA-treated MWNTs remained intact without oxidation. The dispersed carbon nanotubes in TFA/THF solution were mixed with poly(methyl methacrylate) (PMMA) to fabricate polymer nanocomposites. A good dispersion of nanotubes in solution and in polymer matrices was observed and confirmed by SEM and optical microscopy study. Low percolation thresholds of electrical conductivity were observed from the fabricated MWNT/PMMA composite films. A carbon nanotube/ polymer nanocomposites system was also used for the fabrication of organic solar cells. A blend of single-wall carbon nanotubes (SWNTs) and poly3-hexylthiophene (P3HT) was used as the active layer in the device. The device characteristics showed that the fabrication of the solar cells was successful without any shorts in the circuit. The second part of the study deals with the preparation and characterization of electrode and electrolyte materials for lithium ion batteries. A system of lithium trifluoroacetate/ PMMA was used for its study as the electrolyte in lithium battery. A variety of different processing conditions were used to prepare the polymer electrolyte system. The conductivity of the electrolyte plays a critical role in the high power output of a battery. A high power output requires fast transport of lithium ions for which the conductivity of the electrolyte must be at least 3 x 10^-4 S/cm. Electrochemical Impedance Spectroscopy (EIS) was used to determine the conductivity of the polymer electrolyte films. Among the different processing conditions used to prepare the polymer electrolyte material, wet films of PMMA/salt system prepared by using 10vol% of TFA in THF showed the best results. At about 70wt% loading of the salt in the polymer, the conductivity obtained was about 1.1 x 10^-2 S/cm. Recently, the use of vanadium oxide material as intercalation host for lithium has gained widespread attention. Sol-gel derived vanadium oxide films were prepared and its use as a cathode material for lithium ion battery was studied. The application of carbon nanotubes in lithium ion battery was explored. A carbon nanotube /block copolymer (P3HT-b-PS) composite was prepared and its potential as an anode material was evaluated.

The mixing of polymers and nanoparticles makes it possible to give advantageous macroscopic material performance by tailoring the microstructure of composites. In this thesis, five combinations of nano inclusion and polymer matrix have been investigated. The first type of composites is titanium dioxide/ polyaniline combination. The effects of 4 different doping-acids on the microstructure, morphology, thermal stability and thermoelectric properties were discussed, showing that the sample with HCl and sulfosalicylic dual acids gave a better thermoelectric property. The second combination is titanium dioxide/polystyrene composite. Avrami equation was used to investigate the crystallization process. The best fit of the mass derivative dependence on temperature has been obtained using the double Gaussian dependence. The third combination is titanium dioxide/polyaniline/ polystyrene. In the titanium dioxide/polyaniline/ polystyrene ternary system, polystyrene provides the mechanical strength supporting the whole structure; TiO2 nanoparticles are the thermoelectric component; Polyaniline (PANI) gives the additional boost to the electrical conductivity. We also did some investigations on Polyethylene odide-TiO2 composite. The cubic anatase TiO2 with an average size of 13nm was mixed with Polyethylene-oxide using Nano Debee equipment from BEE international; Single wall carbon nanotubes were introduced into the vinyl acetate-ethylene copolymer (VAE) to form a connecting network, using high pressure homogenizer (HPH). The processing time has been reduced to 1/60 of sonication for HPH to give better sample quality. Theoretical percolation was derived according to the excluded volume theory in the expression of the threshold as a function of aspect ratio.

The addition of powered components for active assays into paper-based analytical devices opens new opportunities for medical and environmental analysis in resource-limited applications. Current battery designs within such devices have yet to adopt a ubiquitous circuitry material, necessitating investigation into printed circuitry for scalable platforms. In this study, a microfluidic battery was mated with silver-nanoparticle conductive ink to prototype an all-printed sensing platform. A multi-layer, two-cell device was fabricated, generating 200 μA of direct electrical current at 2.5 V sustained for 16 minutes with a power loss of less than 0.1% through the printed circuitry. Printed circuitry traces exhibited resistivity of 75 to 211 10-5 Ω m. Resistance of the printed traces increased upwards of 200% depending on fold angle and directionality. X-ray diffraction confirmed the presence of face-centered cubic silver after sintering printed traces for 30 minutes at 150°C in air. A conductivity threshold was mapped and an ink concentration of 0.636 μL mm-3 was identified as the lower limit for optimal electrical performance.

Electroconductive silicate-based composites are advanced materials that allow building structures to perform several different functions simultaneously. Addressing the issues of their development and use is a suitable topic for research work. The aim of this work is to study the effect of structure on the resistivity of silicate composite. The structure of electrically conductive composites is studied on dry cement paste and mortar mixtures as well as on test bodies made of hardened cement paste and mortar after 28 days of curing. Based on the analysis of the raw materials, six suitable electroconductive fillers are selected based on particle size, resistivity, and water absorption. The parameters of dry cement paste and hardened cement paste with replacement of 4-19 wt. % cement by the selected fillers are determined. Two of the fillers are selected for use in dry and hardened mortar. Resistivity is determined for all dry mixes and hardened composites variants, and percolation thresholds are approximately determined. By studying the structure of the selected variants, it is shown that the most important parameters that have the greatest influence on the resistivity of the silicate composites are mainly the particle size and the intrinsic resistivity of the electrically conductive filler. For silicate composites in the hardened state, the volume of hydration products, especially portlandite and C-S-H gels, also has a significant influence. For both dry blends and hardened composites, it was found that the smaller the particle size of the electroconductive filler, the smaller the representation needed to reach the percolation threshold. Portlandite and C-S-H gels in the volume of the hardened composite cause its high resistivity. The resistivity of the hardened composite is always higher than that of the dry blends. Thus, the proportion of electroconductive filler needed to reach the percolation threshold is higher in hardened composites than in dry mixes. The resist

Percolation theory is a relevant area of research in Nanotechnology because of its wide applications in nanoelectronics based on thin films of nanoparticles and composites, amongst others. In nanotechnology, systems are often explored through modelling and simulations. Thin films of the emerging low-dimensional nanomaterials, such as the 1D nanowires/nanotubes and 2D graphene, as well as their composites, can generally be simulated through a two dimensional percolation system of homogeneous or heterogeneous ellipses. The critical phenomena, i.e., the percolation threshold of the systems, is now obtained using the Monte Carlo simulation method, which, need extensive amounts of time. This project is an interdisciplinary one, wherein an attempt is made to use a certain amount of the data from the Monte Carlo simulations to train a machine learning model to predict the threshold of all the 2D ellipse systems with the maximum relative error < 10%, thus reducing the time taken when gathering the data. This project investigates different algorithms such as Linear Regression, Polynomial Regression, Multi-layer Perceptron Neural Networks, Random Forests, Extreme Gradient Boosted Trees, Support Vector Machines and K-Nearest Neighbours. Weaknesses in the results are identified and overcome by specific additional sample generation. Finally, a comparison is made between the algorithms marking the Multi-layer Perceptron and Extreme Gradient Boosted Trees as successful, with the Multi-layer Perceptron being the clear winner. The algorithm is successful within the defined 10% relative error, performing even better with all samples having relative prediction errors less than 7%. The model can be downloaded and used from https://github.com/NiravSurajlal/ PercolationAI. / Perkolationsteori är ett relevant forskningsområde inom nanoteknik på grund av dess breda tillämpningar inom nanoelektronik, bland annat baserade på tunna filmer av nanopartiklar och kompositer. Inom nanoteknik undersöks system ofta genom modellering och simuleringar. Tunna filmer av de framväxande lågdimensionella nanomaterialen, såsom 1D-nanotrådar / nanorör och 2Dgrafen, liksom deras kompositer, kan i allmänhet simuleras genom ett tvådimensionellt perkolationssystem av homogena eller heterogena ellipser. De kritiska fenomenen, dvs. systemets perkolationströskel, erhålls nu med hjälp av Monte Carlosimuleringsmetoden, som kräver omfattande tidsperioder. Detta projekt är ett tvärvetenskapligt projekt, där man försöker använda en viss mängd data från Monte Carlo-simuleringarna för att träna en maskininlärningsmodell för att förutsäga tröskeln för alla 2D-ellipssystem med det maximala relativa felet <10%vilket minskar den tid det tar att samla in data. Detta projekt undersöker olika algoritmer som linjär regression, polynomregression, flerlagers Perceptron-neuronnätverk, slumpmässiga skogar, extrema gradientförstärkta träd, stöd för vektormaskiner och K-närmaste grannar. Svagheter i resultaten identifieras och övervinns genom specifik ytterligare provgenerering. Slutligen görs en jämförelse mellan algoritmerna som markerar Multi-layer Perceptron och Extreme Gradient Boosted Trees som framgångsrika, med Multi-layer Perceptron som den tydliga vinnaren. Algoritmen är framgångsrik inom det definierade 10 % relativfelet och presterar ännu bättre med alla prover som har relativa prediktionsfel mindre än 7 %. Modellen kan laddas ner och användas från https://github.com/NiravSurajlal/PercolationAI.

The ability to tune the properties over a wide range of values by changing the additives, composition, etc., has made chalcogenide glassy semiconductors, most interesting from both fundamental physics as well as technology point of view. In particular, the occurrence of the two network topological thresholds namely the Rigidity Percolation Threshold (RPT) and the Chemical Threshold (CT) and their influence on various properties of chalcogenide glasses have been of immense interest during the last three decades. The Rigidity Percolation Threshold (also known as the Stiffness Threshold or Mechanical Threshold) corresponds to the composition at which the material transforms from a floppy polymeric glass to a rigid amorphous solid, whereas at Chemical Threshold the sample tends towards an ordered state. Though the rigidity percolation has been considered for long to occur at a critical threshold defined by the constraint’s theory, the recent theoretical and experimental investigations have found the RPT to occur over a range of compositions. In systems exhibiting an extended rigidity percolation, two distinct transitions namely from a floppy to an isostatically rigid phase and from an isostatically rigid to a stressed rigid phase are seen. In the category of chalcogenide glasses, tellurides have been found to exhibit interesting properties including the phenomenon of electrical switching which finds applications in Phase Change Memories (PCM). Studies on various thermal, electrical and photoelectrical properties of glassy tellurides help us in identifying suitable materials for different technological applications. This thesis deals with Differential Scanning Calorimetric (DSC) & Temperature Modulated Alternating Differential Scanning Calorimetric (ADSC) studies, electrical switching investigations, photoconductivity & photothermal measurements on certain metal doped telluride glasses. The composition dependence of properties such as glass transition & crystallization temperatures, switching voltage, thermal diffusivity, photosensitivity, etc., have been analyzed to obtain information about topological thresholds, thermally reversing window, etc. The first chapter of thesis provides an overview of properties of amorphous semiconductors, in particular chalcogenide glasses. The local & defect structure, the electronic band structure & electrical properties, electrical switching behavior, etc., are discussed in detail. The theoretical aspects related to the experiments undertaken in this thesis work have also been described. The instrumentation used for various experiments conducted to measure thermal, electrical, photoelectrical and photothermal properties have been discussed in chapter two. The chapter three deals with the photocurrent measurements on As40Te60-xInx (7.5 ≤ x ≤ 16.5) glasses. In these samples, it has been found that the photocurrent increases with illumination, which is understood on the basis of the large dielectric constant and also due to the presence of a large number of positively charged defect states. Further, the composition dependence of the conductivity activation energy and the photosensitivity exhibit a maximum at x = 12.5 (<r> = 2.65) and a minimum at x = 15.0 (<r> = 2.70) which has been identified to be the Rigidity Percolation Threshold (RPT) and the Chemical Threshold (CT) respectively. The results of electrical switching, DSC and Photothermal Deflection (PTD) studies on As20Te80-xGax (7.5 ≤ x ≤ 18.5) glasses, undertaken to elucidate the network topological thresholds, are described in chapter four. It has been found that all the As20Te80-xGax glasses studied exhibit memory type electrical switching. The switching voltage (VT) of these glasses increases monotonically with x, in the composition range 7.5 ≤ x ≤ 15.0. The increase in VT with gallium addition leads to a local maximum at x = 15.0 and VT decreases with x thereafter, reaching a distinct minimum at x = 17.5. Based on the variation with composition of the electrical switching voltages, the composition x = 15.0 and x = 17.5 have been identified to be the rigidity percolation and chemical thresholds of the As20Te80-xGax glassy system respectively. Further, the DSC studies indicate that As20Te80-xGax glasses exhibit a single glass transition (Tg) and two crystallization reactions (Tc1 & Tc2) upon heating. There is no appreciable change in Tg of As20Te80-xGax glasses with the addition of upto about10 atom% of Ga, whereas a continuous increase is seen in the crystallization temperature (Tc1). It is interesting to note that both Tg and Tc1 exhibit a maximum at x = 15.0 and a minimum at x = 17.5, the compositions identified to be the RPT and CT respectively by the switching experiments. The composition dependence of thermal diffusivity estimated from the PTD signal, indicate the occurrence of an extended stiffness transition in As20Te80-xGax glasses, with the compositions x = 9.0 and x = 15.0 being the onset and the completion of an extended rigidity percolation. A maximum and a minimum are seen in the thermal diffusivity respectively at these compositions. Further, a second maximum is seen in the thermal diffusivity of As20Te80-xGax glasses, the Chemical Threshold (CT) of the glassy system. The fifth chapter of the thesis describes the ADSC, electrical switching and photocurrent measurements on Ge15Te85-xInx (1 ≤ x ≤ 11) glasses. It is found there is not much change in the Tg of Ge15Te85-xInx glasses in the composition range 1 ≤ x ≤ 3. An increase is seen in Tg beyond x = 3, which continues until x = 11. Further, the composition dependence of non-reversing enthalpy shows the presence of a thermally reversing window in the compositions range x = 3 and x = 7. Electrical switching studies indicate that Ge15Te85-xInx glasses exhibit threshold type of switching at input currents below 2 mA. It is observed that switching voltages decrease initially with indium addition, exhibiting a minimum at x = 3, the onset of the extended rigidity percolation as revealed by ADSC. An increase is seen in VT above x = 3, which proceeds till x = 8, with a change in slope (lower to higher) seen around 7 atom% of indium which corresponds to the completion of the stiffness transition. The reversal in trend exhibited in the variation of VT at x = 8, leads to a well defined minimum around x = 9, the chemical threshold of the Ge15Te85-xInx glassy system. Photocurrent measurements indicate that there is no photodegradation in Ge15Te85-xInx glasses with x < 3, whereas samples with x ≥ 3 show photodegradation behavior. The composition dependent variation in the glass transition temperature has been attributed for this behavior. Further, the composition dependence of photo sensitivity has been found to show the signatures of the extended rigidity percolation and the chemical threshold in Ge15Te85-xInx glasses. The last chapter of thesis (chapter six) summarizes the results obtained and also the scope of future work to be undertaken.

L'émergence des nanotubes de carbone a ouvert de nouveaux champs d'application dans le domaine des matériaux polymères. L'ajout de ces charges carbonées au sein de polymères permet la mise en œuvre de composites aux propriétés électriques optimisées. La conductivité de ces matériaux dépend en grande partie de l'organisation des charges dans la matrice, notamment de la présence de réseaux percolants. L'objectif du présent travail de thèse est de comprendre les mécanismes de structuration des nanotubes de carbone au sein de différents milieux. L'architecture de ces réseaux de charges a principalement été révélée par le biais de mesures électriques et diélectriques. L'originalité de nos travaux réside dans l'utilisation de matrices liquides, notamment des huiles de silicone, afin de s'affranchir des contraintes présentes dans les plastiques d'une part, et de simplifier les processus de mise en œuvre d'autre part. Le manuscrit de thèse est articulé autour de six chapitres. Une première partie bibliographique aborde les propriétés des nanotubes de carbone ainsi que les phénomènes que sont la percolation et la percolation dynamique. Le second chapitre, matériel & méthode, présente les matériaux employés ainsi que les différentes techniques de caractérisation utilisées au cours de la thèse. Le troisième chapitre de la thèse aborde, à travers des mesures de conductivité, la percolation dynamique des nanotubes de carbone sein d'huiles de silicone. Le chapitre 4 propose une modification la loi de puissance de Kirkpatrick, afin de décrire la conductivité en fonction du temps et du taux de charge. L'exposant critique de percolation, caractérisant la transition isolant conducteur, se révèle être un indicateur de l'état de dispersion des nanotubes à travers la matrice. Le chapitre 5 démontre la possibilité de contrôler l'organisation des charges par l'application d'un champ électrique. L'application d'un champ élevé permet une augmentation de plusieurs ordres de grandeur de la conductivité ainsi qu'une diminution des charges nécessaire à la formation d'un réseau percolant. Nous avons notamment déterminé des seuils de percolation de l'ordre de 0.005% massique en nanotube de carbone. Enfin, l'influence des propriétés intrinsèques de la matrice, telles la viscosité et la tension de surface, est étudié dans le chapitre 6. La dispersion des nanotubes de carbone s'avère être favorisée au sein de liquides ayant des tensions de surface proches de celle des tubes. Au contraire, une agrégation de charge est rapidement observée dans le cas ou la différence de tension de surface charge-matrice est importante. Nous avons également observé que la percolation des nanotubes est défavorisée au sein de milieux visqueux. / The rise of carbon nanotube has open possibility for composites polymers. Mixing this carbonaceous filler with polymer medias leads to an optimization of the electrical properties. Then, conductivity mainly depends of the filler architecture, especially the presence of percolating networks. The objective of this work is to understand the percolation mechanisms of the carbon nanotubes in different media. During this study, filler network has been revealed by the mean of electrical and dielectrical measurements. The originality of our work lies in the use of liquid matrices, such as silicone oils, in order to overcome the stresses in the plastic on the one hand, and to simplify the processing in other hand. This thesis is organized around six chapters. The first bibliographic part discusses the carbon nanotubes properties as well as percolation and dynamic percolation phenomena. The second chapter, matériel & méthode, presents the materials used and the different characterization techniques employed. The third chapter of the thesis talks about dynamic percolation of carbon nanotubes in silicone oil, probed by conductivity measurements. Chapter 4 provides a change of the power law Kirkpatrick to describe the conductivity as a function of time and filler content. The critical exponent of percolation is proving to be an indicator of the dispersion state of nanotubes throughout the matrix. In the Chapter 5, electric field is depicted as a tool to control the organization of fillers. The application of a high field increases the conductivity of several orders of magnitude and decreases the percolation threshold. Percolation thresholds close to 0.005 wt % have been determined. At last, the influence of the intrinsic properties of the matrix, such as viscosity and surface tension, is discussed in Chapter 6. Carbon nanotubes dispersion appears to be favored if the difference of surface tension between filler and liquid is low. In contrast, a filler aggregation is rapidly observed in the case where the difference in surface tension is important. We also observed that the percolation of the nanotubes is favored in viscous media.