The anisotropy of the Biscayne Aquifer which serves as the source of potable water for Miami-Dade County was investigated by applying geophysical methods. Electrical resistivity imaging, self potential and ground penetration radar techniques were employed in both regional and site specific studies. In the regional study, electrical anisotropy and resistivity variation with depth were investigated with azimuthal square array measurements at 13 sites. The observed coefficient of electrical anisotropy ranged from 1.01 to 1.36. The general direction of measured anisotropy is uniform for most sites and trends W-E or SE-NW irrespective of depth. Measured electrical properties were used to estimate anisotropic component of the secondary porosity and hydraulic anisotropy which ranged from 1 to 11% and 1.18 to 2.83 respectively. 1-D sounding analysis was used to models the variation of formation resistivity with depth. Resistivities decreased from NW (close to the margins of the everglades) to SE on the shores of Biscayne Bay. Porosity calculated from Archie's law, ranged from 18 to 61% with higher values found along the ridge. Higher anisotropy, porosities and hydraulic conductivities were on the Atlantic Coastal Ridge and lower values at low lying areas west of the ridge. The cause of higher anisotropy and porosity is attributed to higher dissolution rates of the oolitic facies of the Miami Formation composing the ridge. The direction of minimum resistivity from this study is similar to the predevelopment groundwater flow direction indicated in published modeling studies. Detailed investigations were carried out to evaluate higher anisotropy at West Perrine Park located on the ridge and Snapper Creek Municipal well field where the anisotropy trend changes with depth. The higher anisotropy is attributed to the presence of solution cavities oriented in the E-SE direction on the ridge. Similarly, the change in hydraulic anisotropy at the well field might be related to solution cavities, the surface canal and groundwater extraction wells.

The vadose zone is the unsaturated zone between the ground surface and water table. This zone is of much importance as it acts as a link between surface water and ground water. Knowledge of soil moisture in this zone is very much essential to understand the meteorologic, hydrologic and agronomic process. Flow and transport in the unsaturated zone are more complex compared to saturated medium, as the pores in unsaturated zone are partly filled by air and partly by water. Most of vadose zone studies are done on agricultural plots where anthropogenic activities govern the vadose zone flows. Vadose zone studies in natural pristine conditions such as in forested areas where no anthropogenic activities are present are very limited that too in Indian conditions are rare. The present research work deals with understanding of the flow behavior in the vadose zone in a small experimental forested watershed called Mule Hole. Mule Hole watershed is 4.5 km2 and located in Bandipur National Park in Chamrajnagar District of Karnataka state, in the southern part of India. The forest is of deciduous type with 3 to 4 months of leafless dry period. The watershed has mean annual 25 years rainfall of 1120 mm and mean yearly temperature is 27o. The rainfall pattern is bimodal i.e. it receives rainfall during South West Monsoon (June -September) and North East Monsoon (October – December) with dominant rainfall occurring during South West Monsoon. Human activity is minimal as watershed is a part of Bandipur National Park, dedicated to wildlife and biodiversity preservation. The watershed consists of around 80 % of red soils, and black soil and saprolite covering the rest. The first part of the study involves soil moisture measurements by neutron probe and electrical resistivity measurements by geophysical method and their linking, i.e. developing volumetric soil moisture vs electrical resistivity relationship. The second part of the study involves application of neutron probe soil moisture measurement in identifying relationship between soil and erosion in the watershed. The third part involves development of two dimensional (2D) vadose zone model for watershed and validating it with measured data. The last part involves development of three dimensional model of watershed and validating it with observed data. Vadose zone is briefly described in chapter 1 along with its governing equations. Different soil moisture measurement techniques including invasive and non – invasive ones are also discussed. Different vadose zone modeling software which are public domain as well as commercial ones are also discussed. The chapter ends with organization of this thesis. Chapter 2 reviews relevant literature related to this study with focus on soil moisture measurement techniques and vadose zone flow modeling. Different soil moisture measurement techniques, their applications and limitations are reviewed. In the soil moisture measurement techniques, invasive and non – invasive types are reviewed. In the modeling part, different vadose zone models for 2D and 3D flow along with its applications and limitations are reviewed. Also a brief review about application of HYDRUS 2D/3D model is done which is used for the vadose zone modeling in this thesis. Chapter 3 introduces study area Mule Hole watershed, which is a forested watershed located in Bandipur National Park, Karnataka. India. The watershed has mean annual 25 years rainfall of 1120 mm and mean yearly temperature is 27o. The watershed has average regolith thickness or vadose zone of 17 m with roots of the trees able to penetrate up to groundwater. A toposequence T1 is identified in the watershed which has red soil – black soil confluence where soil moisture measurements and electrical resistivity measurements are carried out. The toposequence consists of 8 layers with organic layer forming the top layer followed by 3 red soil layer with 2 black soil layers intruding from stream into red soil layers and sandy weathered horizon at base of red and black soil. Also a sandy horizon at the top of black soil. Soil moisture measurements with neutron probe and electrical resistivity measurements with electrical logging tool which are done on toposequence periodically for two years are explained and the data are presented in this chapter. These data are used for validation of vadose zone models. Chapter 4 discusses in detail about comparison of electrical resistivity by geophysical method and neutron probe logging for soil moisture monitoring in a forested watershed. The electrical resistivity data and soil moisture data are compared for different soils and existence of relationship between them are studied and discussed in this chapter. For the red soil, existence of relationship between volumetric soil moisture content and electrical resistivity is found. Chapter 5 discusses soil moisture measurements as a tool to study erosion processes in forested watershed. Hydrodynamic behavior of the red soil – black soil system at toposequence T1 is studied using neutron probe soil moisture measurements. Two distinctive types of erosional landforms have been identified at T1 viz, rotational slips (Type 1); seepage erosion (Type 2),which are highlighted by neutron probe soil moisture measurements. Based on the observations relative chronology of formulation of different soil horizons are studied, which guided in developing four-stage model showing the relative chronology in the recent formation of the soil cover at downslope. Chapter 6 discusses application of 2D vadose zone modeling using HYDRUS – 2D model at two experimental sites in forested watershed where soil moisture monitoring and groundwater monitoring have been conducted. At the first site, which is toposequence T1 in the forested watershed, where soil moisture measurements are done, three case studies for comparison of daily scale data with hourly scale data and effects of internal layering by clubbing red soil layers and black soil layers to equivalent red soil and black soil layers respectively are performed. The model is run for two years. In that, first year results are used for calibrating the model where measured soil moisture content data are used to get soil hydraulic parameters for all the three cases by inverse modeling using Marquardt – Levenberg algorithm which is a part of HYDRUS 2D. The parameters thus obtained fall under particular soil range and performed efficiently in predicting soil moisture content. The second year results of model run is used for validation of the model in all the three cases where simulated soil moisture content is compared with measured soil moisture content. It is found that model is performing well and match between measured and simulated soil moisture contents is good in all the three cases. It can be said that having hourly scale data with detailed layering information is always advantageous in modeling soil moisture content. But, in absence of hourly scale data or finer scale data and absence of detailed layering information, the soil moisture model can also perform well. The scale of data and detailed layering information has minimal effect on soil moisture modeling. At the second site ERT profile near the watershed outlet has five monitoring wells are available and all layering information regarding regolith and hard rock layer distribution profiles. The soil hydraulic parameters obtained at toposequence T1 for soil and sandy weathered horizon are used and tested at this site to simulate the groundwater levels. The parameter for rock layer is estimated by testing different hydraulic parameters from HYDRUS database. The results are validated using observed groundwater levels at the site. The results show significant match between observed and simulated groundwater levels. Chapter 7 discusses 3D modeling of Mule Hole forested watershed using HYDRUS – 3D model. A three layer model of Mule Hole along with its topographic details is modeled. The layering information is derived from geophysical study done at 12 Electrical Resistivity Tomography (ERT) profiles distributed in the watershed. The three layers considered are top soil layer followed by sandy weathered layer and bottom rock layer. Anisotropy in hydraulic conductivity, root water uptake and sloping water table are introduced to make the model more realistic. Soil hydraulic parameters obtained during 2D vadose zone modeling of toposequence T1 are used initially for soil and sandy weathered layers and are subsequently tuned to make model more efficient. Different scenarios are considered to test flux as well as constant head boundary conditions and effect of different porosities for rock layer. The model is run for 7 years and model simulations are validated with observed groundwater levels from monitoring wells across the watershed. The result shows good fit between simulated and observed groundwater levels especially for monitoring well which has shallow groundwater level. It is found that porosity in the rock layer is not uniform and there exist different porosities for the rock layer across the watershed. Also the distribution of sandy weathered zone requires improvement. The model is also able to predict ET closer to ET predicted by COMFORT model which was developed earlier. Also the model shows rise in groundwater fluxes as groundwater starts replenishing. Over all, the 3D model of Mule Hole watershed in HYDRUS – 3D worked well with satisfactory results and HYDRUS – 3D can be used for modeling small forested watersheds. Chapter 8 concludes the study and discusses the further scope of the work.

Les modèles de culture constituent des outils indispensables pour comprendre l’influence des conditions agropédoclimatiques sur le système sol-plante à différentes échelles spatiales et temporelles. A l’échelle locale de la parcelle agricole, le modèle peut être utilisé dans le cadre de l’agriculture de précision pour optimiser les pratiques de fertilisation azotée de façon à maximiser le rendement ou le revenu tout en minimisant le lessivage des nitrates vers la nappe. Cependant, la pertinence de l’utilisation du modèle repose sur la qualité des prédictions réalisées, basée entre autres sur une bonne détermination des paramètres d’entrée du modèle. Dans le cadre de l’agriculture de précision, les paramètres concernant les propriétés des sols sont les plus délicates à connaître en tout point de la parcelle et il existe très peu de cartes de sols permettant de les déterminer de manière précise. Néanmoins, dans ce contexte, on peut disposer d’observations acquises automatiquement sur l’état du système sol-plante, telles que des images de télédétection, les cartes de rendement ou les mesures de résistivité électrique du sol. Il existe alors une alternative intéressante pour estimer les propriétés des sols à l’échelle de la parcelle qui consiste à inverser le modèle de culture à partir de ces observations pour retrouver les valeurs des propriétés des sols. L’objectif de cette thèse consiste (i) dans un premier temps à analyser les performances d’estimation des propriétés des sols par inversion du modèle STICS à partir de différents jeux d’observations sur des cultures de blé et de betterave sucrière, en mettant en oeuvre une méthode bayésienne de type Importance Sampling, (ii) dans un second temps à mesurer l’amélioration des prédictions de variables agro-environnementales réalisées par le modèle à partir des valeurs estimées des paramètres. Nous montrons que l’analyse de sensibilité globale permet de quantifier la quantité d’information contenue dans les jeux d’observations et les performances réalisées en matière d’estimation des paramètres. Ce sont les propriétés liées au fonctionnement hydrique du sol (humidité à la capacité au champ, profondeur de sol, conditions initiales) qui bénéficient globalement de la meilleure performance d’estimation par inversion. La performance d’estimation, évaluée par comparaison avec l’estimation fournie par l’information a priori, dépend fortement du jeu d’observation et est significativement améliorée lorsque les observations sont faites sur une culture de betterave, les conditions climatiques sont sèches ou la profondeur de sol est faible. Les prédictions agro-environnementales, notamment la quantité et la qualité du rendement, peuvent être grandement améliorées lorsque les propriétés du sol sont estimées par inversion, car les variables prédites par le modèle sont également sensibles aux propriétés liées à l’état hydrique du sol. Pour finir, nous montrons dans un travail exploratoire que la prise en compte d’une information sur la structure spatiale des propriétés du sol fournie par les mesures de résistivité électrique, peut permettre d’améliorer l’estimation spatialisée des propriétés du sol. Les observations acquises automatiquement sur le couvert végétal et la résistivité électrique du sol se révèlent être pertinentes pour estimer les propriétés du sol par inversion du modèle et améliorer les prédictions des variables agro-environnementales sur lesquelles reposent les règles de choix des pratiques agricoles / Dynamic crop models are very useful to predict the behavior of crops in their environment and are widely used in a lot of agro-environmental work. These models have many parameters and their spatial application require a good knowledge of these parameters,especially of the soil parameters. These parameters can be estimated from soil analysis at different points but this is very costly and requires a lot of experimental work. Nevertheless,observations on crops provided by new techniques like remote sensing or yield monitoring, is a possibility for estimating soil parameters through the inversion of crop models. In my work, the STICS crop model is studied for the wheat and the sugar beet and it includes more than 200 parameters. After a previous work based on a large experimental database for calibrate parameters related to the characteristics of the crop, I started my study with a global sensitivity analysis of the observed variables (leaf area index LAI and absorbed nitrogen QN provided by remote sensing data, and yield at harvest provided by yield monitoring) to the soil parameters, in order to determine which of them have to be estimated. This study was made in different climatic and agronomic conditions and it reveals that 7 soil parameters (4 related to the water and 3 related to the nitrogen) have a clearly influence on the variance of the observed variables and have to be therefore estimated. For estimating these 7 soil parameters, I chose a Bayesian data assimilation method (because I have prior information on these parameters) named Importance Sampling by using observations, on wheat and sugar beet crop, of LAI and QN at various dates and yield at harvest acquired on different climatic and agronomic conditions. The quality of parameter estimation is then determined by comparing the result of parameter estimation with only prio rinformation and the result with the posterior information provided by the Bayesian data assimilation method. The result of the parameter estimation show that the whole set of parameter has a better quality of estimation when observations on sugar beet are assimilated. At the same time, global sensitivity analysis of the observed variables to the 7 soil parameters have been performed, allowing me to build a criterion based on sensitivity indices (provided by the global sensitivity analysis) able to rank the parameters with respect to their quality of estimate. This criterion constitutes an interesting tool for determining which parameters it is possible to estimate to reduce probably the uncertainties on the predictions. The prediction of the crop behaviour when estimating the soil parameters is then studied. Indeed, the quality of prediction of agro-environmental variables of the STICS crop model (yield, protein of the grain and nitrogen balance at harvest) is determined by comparing the result of the prediction using the prior information on the parameters and the result using the posterior information. As for the estimation of soil parameters, the prediction of the variable is made on different climatic and agronomic conditions. According to the result of parameter estimation, assimilating observations on sugar beet lead to a better quality ofprediction of the variables than observations on wheat. It was also shown that the number ofcrop seasons observed and the number of observations improve the quality of the prediction

Polygonal cryogenic structures cannot be investigated with conventional methods as they could be harmed during measurement. A real3D GPR and ERT non-destructive surveys were used to examine and prove applicability for topsoil covered ice-wedge pseudomorphs and coarse-grained sorted polygons (patterned ground). A list of processing tools and algorithm suitable for such environments was created and tested. The benefits of 3D measurements are illustrated on horizontal slices and pseudo3D visualisation of 3D Cube. Basic morphometry characteristics of both forms were collected. Abilities of geophysical imaging for advanced shape characterisations are discussed, too. The low-frequency measurements gave better results at both sites. Pseudomorphs, 2 wide and up to 6,5 long, were found penetrating depth bigger than 3,5 . Sorted polygons, 2,5 wide in diameter, were depicted locked by stony ring of width around 1 . Sorting depth extends up to 0,54 depth for sure, perhaps more.

In the course of these investigations altogether 18 different compounds have been synthesized and their chemical, structural and physical properties were characterized (XRD, XANES, IR, Raman spectrum, magnetic susceptibility, electrical resistivity, low temperature and TG/DTA). Up to now only nitridonickelates and nitridocuprates were known to exhibit exclusively low oxidation states of the transition metals between 0 and +2. In this work it has been presented that also nitridocobaltates belong to this group. We have proved that “Ca3CoIIIN3” do not exist and the real chemical formula can be regarded as Ca5[CoIN2]2. In the thesis another seven new nitridocobaltates(I) have been described, these add to four already known structures. Among novel phases only Ba9Ca[Co2N3]3 may indicate higher valency state for cobalt with the [Co2N3]5- complexes. The XANES data supporting CoII state by comparison with other compounds possess this oxidation state. The crystal structure of Ba9Ca[Co2N3]3 is related to the perovskite type structure. The remarkable structural features of Sr2[CoN2]0.72[CN2]0.28 ≈ Sr6[CoN2]2[CN2] nitridocobaltates [CoIN2]5- ions partially substituted by carbodiimides [N=C=N]2- ions. Up to now in the crystal structure no indications for a homogeneity range could be observed. Both crystal structures of (Sr6N)[CoN2][CN2]2 and Sr6[CoN2]2[CN2] encompass nitridocobaltate [CoN2]5- and carbodiimide [N=C=N]2- ions. In the structures distorted rocksalt motif based on Sr-N partial structure can be distinguished. Up to now in the system AE-Fe-N-(C) only four crystal structures were reported and in the thesis three new were refined Sr8[FeIIIN3]2[FeIIN2], Sr3[FeN3] and (Sr6N)[FeN2][CN2]2 and their physical properties were characterized. The system AE-Mn-N-(C) via this work was extended by Sr8[MnN3]3 and Sr4[MnN3][CN2]. Up to date the only nitridometalate containing different transition elements is Ba[Ni1-xCuxN]. In this work one more mixed nitridometalate has been described Sr8[MnIIIN3]2[FeIIN2]. The crystal structure of Sr4[MnN3][CN2] revealed some weak diffuse scattering lines. The general formula of Sr4[MnN3][CN2] can be written as Sr4[Mn0.96N2.90][C0.96N2] to emphasize possible homogeneity range. Any explanation of the phenomena and establishment of possible homogeneity range are still a challenge. The structures of Sr8[MIIIN3]2[FeIIN2] (M = Mn, Fe) are related to Sr8[MnIVN3]2[MnIIIN3]. All these compounds are first mixed-valency compounds for respective systems and exhibit close relation to crystal structures of Sr3[MN3] (M = Mn, Fe). From the XANES data alike behaviour of all structures containing Mn was observed. Due to some possible degree of Mn/Fe mixing in the crystal structure of Sr8[MIIIN3]2[FeIIN2] the chemical formula might be written as Sr8[MnN3]2-x[FeN3]x[FeN2]. This needs to be investigate in details. Up to now in the literature the only crystallographic data of nitridometalates contain [NCN]2- ions include two compounds. In this work four novel nitridometalate carbodiimides and cyanamides Sr4[MnN3][CN2], (Sr6N)[MN2][CN2]2 (M = Co, Fe) and Sr6[CoN2]2[CN2] have been synthesized. Predominant magnetic properties in the investigated nitridometalates are connected to some antiferromagnetic M-M interactions supported by AFM ordering. The electrical resistivity often shows at some semi-conducting character of these compounds. XANES spectroscopy provided many useful data about valency states of the transition elements, coordination environment around absorbing atoms and electronic structure. The influence of different parameters on the transition metals K-edges was studied in details. IR and Raman give general data about [NCN]2- ions.

Die Betrachtung von Schwere-Fermionen-Systemen stellt ein wichtiges Themengebiet im Bereich der Festkörperphysik dar. Das Verhalten von Schwere-Fermionen-Systemen wird durch die starken Korrelationen der magnetischen Momente der ungepaarten Spins der f-Elektronen bestimmt. Experimentell zugängliche Messgrößen sind dadurch bei tiefen Temperaturen stark erhöht, so dass sich diese Systeme besonders gut zur Untersuchung von Grundzustandseigenschaften eignen. Zentrales Thema dieser Arbeit ist die Untersuchung zweier intermetallischer Seltenerd-Verbindungen in Bezug auf Quantenphasenübergänge. Diese treten am absoluten Nullpunkt der Temperatur als Funktion eines anderen Parameters wie Magnetfeld, Druck oder chemischer Substitution auf und sind bei endlicher Temperatur durch Abweichungen physikalischer Messgrößen von der durch L. D. Landau aufgestellten Theorie der Fermi-Flüssigkeiten nachzuweisen. Zu diesem Zweck wurden Tieftemperaturexperimente bis hinab zu 20mK und in Magnetfeldern bis zu 18T durchgeführt. Es wurden elektrischer Widerstand, magnetische Wechselfeldsuszeptibilität, Magnetostriktion und thermische Ausdehnung gemessen. / The investigation of heavy-fermion systems marks an important subject in the research field of solid state physics. The behaviour of heavy-fermion systems is dominated by the strong correlations of the magnetic moments of the unpaired f-electron spins. At low temperatures, experimentally accessible variables are strongly enhanced so that these systems are especially suited to analyse ground state properties. The central topic of this thesis is the investigation of two intermetallic rare-earth compounds with regard to quantum phase transitions. The latter occur at zero temperature as a function of parameters such as magnetic field, pressure or chemical substitution. They are traceable at finite temperature due to deviations of physical variables from the theory of Fermi liquids established by L. D. Landau. For this purpose, low-temperature experiments were performed down to 20mK and in magnetic fields up to 18T. Electrical resistivity, magnetic ac susceptibility, magnetostriction and thermal expansion were measured.

Ce travail s'est concentré sur la compréhension de l'influence de la formulation et plus spécifiquement de la silice précipitée sur la résistivité électrique de séparateurs en polyéthylène destinés à des batteries au plomb. Les séparateurs de batteries en polyéthylène sont composés de silice précipitée, de polyéthylène ultra haute masse molaire (UHMWPE) et d'huile organique. La première partie de ce travail a été d'élaborer à l'échelle du laboratoire, des membranes modèles en polyéthylène. La seconde a été de comprendre l'influence de certains facteurs sur les propriétés structurales et physicochimiques des membranes. Ces facteurs sont principalement la quantité d'huile, la quantité et le grade de silice précipitée, les conditions de température lors de la cristallisation de la membrane et le mode de mise en œuvre utilisé. Les influences des quantités d'huile et de silice sur la cristallisation du polyéthylène sont méticuleusement étudiées, montrant que l'huile aide à augmenter la cristallinité finale de l'UHMWPE et que la silice joue un rôle de réservoir d'huile. Il a également été mis en évidence que la quantité ainsi que le grade de silice influencent la quantité de porosité de la membrane mouillable par l'électrolyte. La présence de silice en surface des pores est responsable de la mouillabilité de la membrane. Un paramètre empirique a donc été proposé dans le but de pouvoir quantifier l'efficacité de l'état de dispersion/distribution de la silice précipitée dans la membrane. Pour terminer, pour une formulation et un même mode de mise en œuvre, il est possible de discriminer l'efficacité des grades de silice précipitée pour l'application séparateur de batterie / This work is devoted to understand the effect of the formulation and more specifically of the precipitated silica on the resistivity of the PE-separators. The PE-separators are designed for the lead-acid batteries. PE-separators are composed of precipitated silica, ultrahigh molecular weight polyethylene (UHMW-PE) and organic oil. The first part of this work was to elaborate PE-separator models at a laboratory scale. Then, the factors impacting the structural and physico-chemicals properties of PE-separators were investigated. These factors are mainly the amounts of oil, precipitated silica, the grade of the precipitated silica, the temperature conditions of crystallization and the device used to elaborate the membrane. The influence of the amounts of oil and precipitated silica on the crystallization of the polyethylene wasthoroughly described showing that the oil helps to increase the final crystallinity of UHMWPE and that the silica plays a role of oil reservoir. Moreover, it was shown that the amount and the grade of precipitated silica have an influence on the wettable part of the porosity of the PE-separators. The coating of the pores by the precipitated silica is responsible of the wettability of the membranes by the electrolyte. Thus, an empirical parameter has been proposed in order to quantify the efficiency of the dispersion and distribution of the precipitated silica in the membrane. The more the membranes are wettable by the electrolyte the more the resistivity of the membranes is decreased. To finish, for a same amount of components and a same method of processing, it is possible to discriminate the efficiency of each grade of precipitated silica for the battery separator application

The thermal conductivity and electrical resistivity of Zr, ZrC, and ZrN were calculated using first-principles density functional theory (DFT) and the Boltzmann transport equation. The electron-phonon scattering was modeled via the self-energy relaxation time approximation (SERTA), and the phonon-phonon scattering via the analogous single-mode relaxation time approximation (SMRTA). The results obtained from Abinit's electron-phonon coupling code EPH is in good agreement with experimental reference data for Zr and ZrN. Notably, the calculated electrical resistivity of ZrC was found to be significantly lower than the available reference data, likely due to deviations from a perfect Zr/C stoichiometric ratio in the experimental samples. Additionally, it was observed that the calculated lattice thermal conductivity was overestimated at low temperatures, possibly attributed to the neglect of electron-phonon scattering that otherwise appears in metallic systems. / Värmeledningsförmågan och den elektriska resistiviteten för Zr, ZrC och ZrN beräknades med hjälp av täthetsfunktionalteori (DFT) och Boltzmanns transportekvation. Elektron-fononspridningen modellerades via 'self-energy relaxation time approximation' (SERTA), och fonon-fononspridningen via den motsvarande 'single-mode relaxation time approximation' (SMRTA). Resultaten från Abinits elektron-fononkopplingskod EPH stämmer väl överens med experimentella referensdata för Zr och ZrN. Den beräknade elektriska resistiviteten för ZrC visade sig emellertid vara betydligt lägre än all tillgänglig referensdata, troligtvis på grund av avvikelser från ett perfekt Zr/C-stökiometriskt förhållande i de experimentella proverna. Dessutom observerades att det beräknade fononbidraget till värmeledningsförmågan överskattades vid låga temperaturer, vilket möjligen beror på försummelsen av elektron-fononspridning som annars framträder i metalliska system.

No description available.

O objetivo principal deste trabalho foi desenvolver um dispositivo de filme fino com anisotropia de resistividade elétrica. A idéia foi usar um efeito quântico presente em filmes muito finos de materiais condutores ou semicondutores com morfologia anisotrópica na superfície. A morfologia foi um perfil unidirecional quase-senoidal. As resistividades foram determinadas medindo-se as resistências elétricas destes materiais em direções ortogonais, levando-se em conta a geometria da amostra e suas dimensões. O material condutor usado foi Polimetilmetacrilato (PMMA) com ouro implantado na superfície. A profundidade média de implantação foi 2,7 nm. Na fabricação do dispositivo foi utilizada micro e nanolitografia, caracterização por Microscopia Eletrônica de Varredura e Microscopia de Força Atômica e implantação de ouro por MePIIID (Metal Plasma Immersion Ion Implantation and Deposition). / The main purpose of this work was to develop a thin film device with electrical anisotropic resistivity. The idea was to use a quantum effect which is present in very thin films of conductor or semiconductor materials with anisotropic morphology on the surface. The morphology was a sinusoidal-like unidirectional profile. The resistivities were determined measuring the electrical resistances of theses materials in orthogonal directions, taking in account the sample geometry and dimensions. The conductive material used was Polymethylmethacrylate (PMMA) with gold implanted on the surface. The average implanted depth was 2.7 nm. In the device fabrication were used micro and nanolithography, characterization by Scanning Electron Microscopy and Atomic Force Microscopy and gold implantation by MePIIID (Metal Plasma Immersion Ion Implantation and Deposition).