Wasserstoffbrücken-gebundene Netzwerke

Die supramolekularen Organisationen von 5-n-Alkoxyisophthaläuren und 2,5-Di-n-alkoxyterephthalsäuren bilden durch sekundäre Wechselwirkungen in Form van der Waals-Kräften und Wasserstoffbrückenbindungen hochgeordnete lamellare Strukturen, die sowohl mittels Röntgen-kristallgraphie als auch durch Rastertunnelmikroskopie (STM) visualisierbar sind. Diese Art der Aggregationsmuster ermöglicht den potentiell reaktiven Gruppen (Diacetylene, Zimtsäuren) in der Alkoxykette, einen optimalen Abstand und geometrische Orientierungen im Kristall einzunehmen, um lichtinduzierte Reaktionen im Festkörper durchzuführen. Einführung einer Amidgruppe an die Alkoxykette erweitert dieses Konzept, durch Erhalt einer zusätzlichen Wasserstoffbrückenbindung im hydrophoben Bereich der Organisation.Die Stabilität solche supramolekularer Aggregate kann durch Einführung semifluorierter Alkoxyketten stark beeinflußt werden, da die Inkompatibilität der pefluorierten Gruppen durch viele organische Verbindungen das Gleichgewicht nicht-kovalenter Wechselwirkung drastisch verändert. Diese Eigenschaft der semifluorierten 5-n-Alkoxyisopthalsäuren und 2,5-Di-n-alkoxyterephthalsäuren zeigt sich erstaunlicherweise jedoch nur bei einem großen Anteil des perfluorierten Alkylteils als der des nicht-perfluorierten. Da sich dann die perfluorierten Alkylteile untereinander organisieren können, erscheint die Änderung der Assoziationsstruktur von interdigitiert-lamellar zu nicht-interdigitiert-lamellar plausibel.Das gezielte Design eines neuen Organisationsmusters der 5-n-Alkoxyisophthalsäuren gelang durch Brechung der Symmetrie dieses Bausteins. Die Einführung zweier Alkoxyketten ließ die zweidimensionale Anordnung der wasserstoffbrückengebundenen Aromate unverändert, resultierte aber mit Ausbruch einer Alkoxykette aus dieser Ebene.

Verknüpfung metallhaltiger Pivalatkomplexe über polyfunktionale organische Brückenliganden

Ziel der hier vorliegenden Dissertation ist es, Übergangsmetallpivalate durch gezielte Substitution monodentater Donorliganden in apikalen Positionen, unter Erhalt ihrer Grundstruktur, zu höherdimensionalen Verbindungen zu verknüpfen. Als Ausgangs-verbindungen dienen dabei [Fe3O(O2C-tBu)6(OH2)3]O2C-tBu und [Ni2(OH2)(O2C-tBu)4(HO2C-tBu)4].rnrnIm ersten Teil dieser Arbeit konnten, in Abhängigkeit der in den Reaktionen eingesetzten Liganden mit [Fe3O(O2C-tBu)6(OH2)3]O2C-tBu, symmetrisch oder asymmetrisch substituierte dreikernige Verbindungen erhalten werden. Deren strukturellen und magnetischen Eigenschaften konnten untersucht werden und die daraus resultierenden magnetostrukturellen Korrelationen auf die folgenden vorgestellten mehrkernigen bzw. höherdimensionalen Verbindungen übertragen werden, die erheblich an Komplexität zugenommen haben.rnDie 0-dimensionalen dreikernigen Einheiten zeigen, abhängig von ihren Fe-O-Bindungslängen in den µ3-Oxo verbrückten Einheiten, unterschiedlich starke antiferro-magnetische Austauschwechselwirkungen. Wenn in den Verbindungen eine längere Fe-O-Bindung und zwei kürzere Fe-O-Bindungen existieren, können diese Typ 2:a zugeordnet werden. Daraus folgt, dass die Daten der magnetischen Suszeptibilität mit zwei unterschiedlich starken Austauschwechselwirkungen (J-Kopplungen) zu simulieren sind. Es liegen eine stärkere J-Kopplung über die kurzen Fe-O-Bindungen und zwei schwächere über die lange Fe-O-Bindung vor (J1 > J2). Existieren hingegen eine kürzere Fe-O-Bindung und zwei längere Fe-O-Bindungen (Typ 2:b) sind nun die magnetischen Suszeptibilitätsdaten nur mit zwei stärkeren und einer schwächeren Kopplung zu simulieren (J1 < J2). Die vorgestellten Verbindungen zeigen alle einen Spingrundzustand S≠0, der durch konkurrierende Wechselwirkungen der Spinzentren in Dreieckssituationen begründet ist. rnDer zweite Teil der Arbeit beschäftigte sich mit dem gezielten Aufbau mehrkerniger Verbindungen, in denen die dreikernige Einheit als Grundmotiv erhalten bleiben konnte. Die Austauschwechselwirkungen der fünf- und sechskernigen Verbindungen konnten in Abhängigkeit der Bindungslängen und basierend auf den Ergebnissen der dreikernigen Einheiten aus dem ersten Teil, bestimmt werden. rnDie Synthesen der 4-Hydroxybenzaldehyd verbrückten Kettenverbindung sowie des über 3,5,3’,5’-Tetramethyl-1H,1’H-[4,4’]bipyrazolyl verknüpften 3-dimensionalen Nickelnetzwerks zeigten die erfolgreiche Umsetzung des „Bottom Up“ Ansatzes. Durch Erhaltung des jeweiligen Grundmotivs der verwendeten Ausgangsverbindung konnten die magnetischen Austauschwechselwirkungen unter Einbeziehung schwacher Wechselwirkungen durch den Raum, mit Hilfe der Theta-Weiss Temperatur, in den Simulationen bestimmt werden.rnrnDamit stellt der „Bottom Up“ Ansatz eine hervorragende Syntesestrategie für den Aufbau höherdimensionaler Verbindungen, ausgehend von zwei- bzw. dreikernigen Übergangs-metallkomplexen, dar.rn

Study of the interactions of Neptunium with humic substances and the clay mineral montmorillonite by direct and non direct speciation methods

For the safety assessment of radioactive waste, the possibility of radionuclide migration has to be considered. Since Np (and also Th due to the long-lived 232-Th) will be responsible for the greatest amount of radioactivity one million years after discharge from the reactor, its (im)-mobilization in the geosphere is of great importance. Furthermore, the chemistry of Np(V) is quite similar (but not identical) to the chemistry of Pu(V). Three species of neptunium may be found in the near field of the waste disposal, but pentavalent neptunium is the most abundant species under a wide range of natural conditions. Within this work, the interaction of Np(V) with the clay mineral montmorillonite and melanodins (as model substances for humic acids) was studied. The sorption of neptunium onto gibbsite, a model clay for montmorillonite, was also investigated. The sorption of neptunium onto γ-alumina and montmorillonite was studied in a parallel doctoral work by S. Dierking. Neptunium is only found in ultra trace amounts in the environment. Therefore, sensitive and specific methods are needed for its determination. The sorption was determined by γ spectroscopy and LSC for the whole concentration range studied. In addition the combination of these techniques with ultrafiltration allowed the study of Np(V) complexation with melanoidins. Regrettably, the available speciation methods (e.g. CE-ICP-MS and EXAFS) are not capable to detect the environmentally relevant neptunium concentrations. Therefore, a combination of batch experiments and speciation analyses was performed. Further, the preparation of hybrid clay-based materials (HCM) montmorillonitemelanoidins for sorption studies was achieved. The formation of hybrid materials begins in the interlayers of the montmorillonite, and then the organic material spreads over the surface of the mineral. The sorption of Np onto HCM was studied at the environmentally relevant concentrations and the results obtained were compared with those predicted by the linear additive model by Samadfam. The sorption of neptunium onto gibbsite was studied in batch experiments and the sorption maximum determined at pH~8.5. The sorption isotherm pointed to the presence of strong and weak sorption sites in gibbsite. The Np speciation was studied by using EXAFS, which showed that the sorbed species was Np(V). The influence of M42 type melanodins on the sorption of Np(V) onto montmorillonite was also investigated at pH 7. The sorption of the melanoidins was affected by the order in which the components were added and by ionic strength. The sorption of Np was affected by ionic strength, pointing to outer sphere sorption, whereas the presence of increasing amounts of melanoidins had little influence on Np sorption.

Aerosol-cloud interactions studied with a chemistry-climate model

This study aims at a comprehensive understanding of the effects of aerosol-cloud interactions and their effects on cloud properties and climate using the chemistry-climate model EMAC. In this study, CCN activation is regarded as the dominant driver in aerosol-cloud feedback loops in warm clouds. The CCN activation is calculated prognostically using two different cloud droplet nucleation parameterizations, the STN and HYB CDN schemes. Both CDN schemes account for size and chemistry effects on the droplet formation based on the same aerosol properties. The calculation of the solute effect (hygroscopicity) is the main difference between the CDN schemes. The kappa-method is for the first time incorporated into Abdul-Razzak and Ghan activation scheme (ARG) to calculate hygroscopicity and critical supersaturation of aerosols (HYB), and the performance of the modied scheme is compared with the osmotic coefficient model (STN), which is the standard in the ARG scheme. Reference simulations (REF) with the prescribed cloud droplet number concentration have also been carried out in order to understand the effects of aerosol-cloud feedbacks. In addition, since the calculated cloud coverage is an important determinant of cloud radiative effects and is influencing the nucleation process two cloud cover parameterizations (i.e., a relative humidity threshold; RH-CLC and a statistical cloud cover scheme; ST-CLC) have been examined together with the CDN schemes, and their effects on the simulated cloud properties and relevant climate parameters have been investigated. The distinct cloud droplet spectra show strong sensitivity to aerosol composition effects on cloud droplet formation in all particle sizes, especially for the Aitken mode. As Aitken particles are the major component of the total aerosol number concentration and CCN, and are most sensitive to aerosol chemical composition effect (solute effect) on droplet formation, the activation of Aitken particles strongly contribute to total cloud droplet formation and thereby providing different cloud droplet spectra. These different spectra influence cloud structure, cloud properties, and climate, and show regionally varying sensitivity to meteorological and geographical condition as well as the spatiotemporal aerosol properties (i.e., particle size, number, and composition). The changes responding to different CDN schemes are more pronounced at lower altitudes than higher altitudes. Among regions, the subarctic regions show the strongest changes, as the lower surface temperature amplifies the effects of the activated aerosols; in contrast, the Sahara desert, where is an extremely dry area, is less influenced by changes in CCN number concentration. The aerosol-cloud coupling effects have been examined by comparing the prognostic CDN simulations (STN, HYB) with the reference simulation (REF). Most pronounced effects are found in the cloud droplet number concentration, cloud water distribution, and cloud radiative effect. The aerosol-cloud coupling generally increases cloud droplet number concentration; this decreases the efficiency of the formation of weak stratiform precipitation, and increases the cloud water loading. These large-scale changes lead to larger cloud cover and longer cloud lifetime, and contribute to high optical thickness and strong cloud cooling effects. This cools the Earth's surface, increases atmospheric stability, and reduces convective activity. These changes corresponding to aerosol-cloud feedbacks are also differently simulated depending on the cloud cover scheme. The ST-CLC scheme is more sensitive to aerosol-cloud coupling, since this scheme uses a tighter linkage of local dynamics and cloud water distributions in cloud formation process than the RH-CLC scheme. For the calculated total cloud cover, the RH-CLC scheme simulates relatively similar pattern to observations than the ST-CLC scheme does, but the overall properties (e.g., total cloud cover, cloud water content) in the RH simulations are overestimated, particularly over ocean. This is mainly originated from the difference in simulated skewness in each scheme: the RH simulations calculate negatively skewed distributions of cloud cover and relevant cloud water, which is similar to that of the observations, while the ST simulations yield positively skewed distributions resulting in lower mean values than the RH-CLC scheme does. The underestimation of total cloud cover over ocean, particularly over the intertropical convergence zone (ITCZ) relates to systematic defficiency of the prognostic calculation of skewness in the current set-ups of the ST-CLC scheme.rnOverall, the current EMAC model set-ups perform better over continents for all combinations of the cloud droplet nucleation and cloud cover schemes. To consider aerosol-cloud feedbacks, the HYB scheme is a better method for predicting cloud and climate parameters for both cloud cover schemes than the STN scheme. The RH-CLC scheme offers a better simulation of total cloud cover and the relevant parameters with the HYB scheme and single-moment microphysics (REF) than the ST-CLC does, but is not very sensitive to aerosol-cloud interactions.

Numerical analysis of the relation between interactions and structure in a molecular fluid

Coarse graining is a popular technique used in physics to speed up the computer simulation of molecular fluids. An essential part of this technique is a method that solves the inverse problem of determining the interaction potential or its parameters from the given structural data. Due to discrepancies between model and reality, the potential is not unique, such that stability of such method and its convergence to a meaningful solution are issues.rnrnIn this work, we investigate empirically whether coarse graining can be improved by applying the theory of inverse problems from applied mathematics. In particular, we use the singular value analysis to reveal the weak interaction parameters, that have a negligible influence on the structure of the fluid and which cause non-uniqueness of the solution. Further, we apply a regularizing Levenberg-Marquardt method, which is stable against the mentioned discrepancies. Then, we compare it to the existing physical methods - the Iterative Boltzmann Inversion and the Inverse Monte Carlo method, which are fast and well adapted to the problem, but sometimes have convergence problems.rnrnFrom analysis of the Iterative Boltzmann Inversion, we elaborate a meaningful approximation of the structure and use it to derive a modification of the Levenberg-Marquardt method. We engage the latter for reconstruction of the interaction parameters from experimental data for liquid argon and nitrogen. We show that the modified method is stable, convergent and fast. Further, the singular value analysis of the structure and its approximation allows to determine the crucial interaction parameters, that is, to simplify the modeling of interactions. Therefore, our results build a rigorous bridge between the inverse problem from physics and the powerful solution tools from mathematics. rn