From discrete anions to extended solids: new uranium thiophosphates

Die wichtigste Klasse zeotyper Verbindungen sind die Thio- und Selenophosphate der Übergangsmetalle. Ziel dieser Dissertation war die Darstellung und Charakterisierung neuer Uranthiophosphate. Die dargestellten Verbindungen enthalten vierwertige Urankationen, die von acht Schwefelatomen koordiniert sind. Da die enthaltenen Thiophosphatanionen in den meisten Fällen als zweizähnige Liganden fungieren, entstehen dreidimensionale Netzwerke mit pseudotetraedrisch koordinierten Metallzentren. In der Verbindung U(P2S6)2 durchdringen sich drei identische diamantartige Netzwerke, wodurch optimale Raumerfüllung erreicht wird. Die Einführung von Alkalimetallkationen in das System führt zu einer Vielzahl neuer Verbindungen, deren Eigenschaften durch die Stöchiometrie der Edukte und durch die Kationenradien bestimmt werden. Beispielsweise enthält die Kristallstruktur von Na2U(PS4)2 zweidimensionale anionische [U(PS4)2]n-Schichten, während die analoge Verbindung CsLiU(PS4)2 eine poröse dreidimensionale Netzwerkstruktur besitzt. Der Vergleich der untersuchten quaternären und quinären Verbindungen zeigt, dass eine Korrelation zwischen dem Kationenradius und dem Durchmesser der Poren besteht. Dies lässt auf eine Templatfunktion der Alkalimetallkationen beim Aufbau der anionischen Teilstruktur schließen. Die neuen Verbindungen wurden aus reaktiven Polysulfidschmelzflüssen oder durch Auflösen amorpher Vorläufer in Alkalimetallchloridschmelzen synthetisiert. Die Kristallstrukturen wurden durch Einkristall-Röntgenmethoden bestimmt. Ein Vergleich der magnetischen Eigenschaften der Verbindungen beweist, dass in allen untersuchten Fällen U(IV) vorliegt. Die Substanzen zeigen paramagnetisches Verhalten, in UP2S7 und CsLiU(PS4)2 sind außerdem antiferromagnetische Wechselwirkungen zwischen benachbarten Uranatomen nachweisbar.

Software tools and efficient algorithms for the feature detection, feature tracking, event localization, and visualization of large sets of atmospheric data

Data sets describing the state of the earth's atmosphere are of great importance in the atmospheric sciences. Over the last decades, the quality and sheer amount of the available data increased significantly, resulting in a rising demand for new tools capable of handling and analysing these large, multidimensional sets of atmospheric data. The interdisciplinary work presented in this thesis covers the development and the application of practical software tools and efficient algorithms from the field of computer science, aiming at the goal of enabling atmospheric scientists to analyse and to gain new insights from these large data sets. For this purpose, our tools combine novel techniques with well-established methods from different areas such as scientific visualization and data segmentation. In this thesis, three practical tools are presented. Two of these tools are software systems (Insight and IWAL) for different types of processing and interactive visualization of data, the third tool is an efficient algorithm for data segmentation implemented as part of Insight.Insight is a toolkit for the interactive, three-dimensional visualization and processing of large sets of atmospheric data, originally developed as a testing environment for the novel segmentation algorithm. It provides a dynamic system for combining at runtime data from different sources, a variety of different data processing algorithms, and several visualization techniques. Its modular architecture and flexible scripting support led to additional applications of the software, from which two examples are presented: the usage of Insight as a WMS (web map service) server, and the automatic production of a sequence of images for the visualization of cyclone simulations. The core application of Insight is the provision of the novel segmentation algorithm for the efficient detection and tracking of 3D features in large sets of atmospheric data, as well as for the precise localization of the occurring genesis, lysis, merging and splitting events. Data segmentation usually leads to a significant reduction of the size of the considered data. This enables a practical visualization of the data, statistical analyses of the features and their events, and the manual or automatic detection of interesting situations for subsequent detailed investigation. The concepts of the novel algorithm, its technical realization, and several extensions for avoiding under- and over-segmentation are discussed. As example applications, this thesis covers the setup and the results of the segmentation of upper-tropospheric jet streams and cyclones as full 3D objects. Finally, IWAL is presented, which is a web application for providing an easy interactive access to meteorological data visualizations, primarily aimed at students. As a web application, the needs to retrieve all input data sets and to install and handle complex visualization tools on a local machine are avoided. The main challenge in the provision of customizable visualizations to large numbers of simultaneous users was to find an acceptable trade-off between the available visualization options and the performance of the application. Besides the implementational details, benchmarks and the results of a user survey are presented.