Eine kompakte Integration der Leistungselektronik in einem Fahrzeuggetriebe des Hybridfahrzeugs stellt hohe Anforderungen an die Lastwechselfestigkeit der Halbleiter-Leistungsmodule. Gefordert wird die Auslegung für die Kühlmitteltemperatur von 125°C und für die Sperrschichttemperatur von 200°C. Für die Untersuchung der Lastwechselfestigkeit bei geforderten hohen Temperaturen werden neue Prüfstandskonzepte und Messmethoden vorgestellt. Mit realisierten Testständen wird die Lastwechselfestigkeit der neuen Aufbau- und Verbindungstechnologien „gehärtete Aluminiumbonddrähte”, „Diffusionslöten”, „Lötung mit vertikalen Strukturen” und „Niedertemperatur-Verbindungstechnik” untersucht. / High power density of the power electronics in a hybrid electric vehicle demands a high power cycling capability of the semiconductor power module. Requirements are: 125°C coolant and 200°C junction temperature. For the investigation of the power cycling capability at high temperatures new test benches and measurement methods are introduces. With realized methods the reliability of following new interconnection technologies is investigated: doped aluminium bond wires, diffusion soldering, solder layer with vertical microstructures, low temperature sinter technology.

Eine kompakte Integration der Leistungselektronik in einem Fahrzeuggetriebe des Hybridfahrzeugs stellt hohe Anforderungen an die Lastwechselfestigkeit der Halbleiter-Leistungsmodule. Gefordert wird die Auslegung für die Kühlmitteltemperatur von 125°C und für die Sperrschichttemperatur von 200°C. Für die Untersuchung der Lastwechselfestigkeit bei geforderten hohen Temperaturen werden neue Prüfstandskonzepte und Messmethoden vorgestellt. Mit realisierten Testständen wird die Lastwechselfestigkeit der neuen Aufbau- und Verbindungstechnologien „gehärtete Aluminiumbonddrähte”, „Diffusionslöten”, „Lötung mit vertikalen Strukturen” und „Niedertemperatur-Verbindungstechnik” untersucht. / High power density of the power electronics in a hybrid electric vehicle demands a high power cycling capability of the semiconductor power module. Requirements are: 125°C coolant and 200°C junction temperature. For the investigation of the power cycling capability at high temperatures new test benches and measurement methods are introduces. With realized methods the reliability of following new interconnection technologies is investigated: doped aluminium bond wires, diffusion soldering, solder layer with vertical microstructures, low temperature sinter technology.

Amine groups physiologically play an important role in regulating the growth behavior of cells and they have technological advantages for the conjugation of biomolecules. In this work, we present a method to deposit a copolymerized coating of dopamine and hexamethylendiamine (HD) (PDAM/HD) rich in amine groups onto a target substrate. This method only consists of a simple dip-coating step of the substrate in an aqueous solution consisting of dopamine and HD. Using the technique of PDAM/HD coating, a high density of amine groups of about 30 nmol cm⁻² was obtained on the target substrate surface. The PDAM/HD coating showed a high cross-linking degree that is robust enough to resist hydrolysis and swelling. As a vascular stent coating, the PDAM/HD presented good adhesion strength to the substrate and resistance to the deformation behavior of compression and expansion of a stent. Meanwhile, the PDAM/HD coating exhibited good biocompatibility and attenuated the tissue response compared with 316L stainless steel (SS). The primary amine groups of the PDAM/HD coating could be used to effectively immobilize biomolecules containing carboxylic groups such as heparin. These data suggested the promising potential of this PDAM/HD coating for application in the surface modification of biomedical devices.

In this work, a new organic light-emitting device (OLED) structure is proposed that allows light-emission from a metal-free device region, thus reducing the hurdles towards an electrically pumped organic solid state laser (OSL). Our design concept employs a stepwise change from a highly conductive but opaque metal part to a highly transparent but less conductive intrinsic emission layer. Here, the high current densities are localized to an area of a few micrometer in square, which is in the range of the mode volume of the transverse mode of an organic vertical-cavity surface-emitting laser (VCSEL). Besides these experimental results, we present findings from simulations which further support the feasibility of our design concept. Using an equivalent circuit approach, representing the current ow in the device, we calculate the time-dependent length of the emission zone and give estimations for appropriate material parameters.

We consider a family of variational time discretizations that generalizes discontinuous Galerkin (dG) and continuous Galerkin-Petrov (cGP) methods. In addition to variational conditions the methods also contain collocation conditions in the time mesh points. The single family members are characterized by two parameters that represent the local polynomial ansatz order and the number of non-variational conditions, which is also related to the global temporal regularity of the numerical solution. Moreover, with respect to Dahlquist’s stability problem the variational time discretization (VTD) methods either share their stability properties with the dG or the cGP method and, hence, are at least A-stable. With this thesis, we present the first comprehensive theoretical study of the family of VTD methods in the context of non-stiff and stiff initial value problems as well as, in combination with a finite element method for spatial approximation, in the context of parabolic problems. Here, we mainly focus on the error analysis for the discretizations. More concrete, for initial value problems the pointwise error is bounded, while for parabolic problems we rather derive error estimates in various typical integral-based (semi-)norms. Furthermore, we show superconvergence results in the time mesh points. In addition, some important concepts and key properties of the VTD methods are discussed and often exploited in the error analysis. These include, in particular, the associated quadrature formulas, a beneficial postprocessing, the idea of cascadic interpolation, connections between the different VTD schemes, and connections to other classes of methods (collocation methods, Runge-Kutta-like methods). Numerical experiments for simple academic test examples are used to highlight various properties of the methods and to verify the optimality of the proven convergence orders.:List of Symbols and Abbreviations Introduction I Variational Time Discretization Methods for Initial Value Problems 1 Formulation, Analysis for Non-Stiff Systems, and Further Properties 1.1 Formulation of the methods 1.1.1 Global formulation 1.1.2 Another formulation 1.2 Existence, uniqueness, and error estimates 1.2.1 Unique solvability 1.2.2 Pointwise error estimates 1.2.3 Superconvergence in time mesh points 1.2.4 Numerical results 1.3 Associated quadrature formulas and their advantages 1.3.1 Special quadrature formulas 1.3.2 Postprocessing 1.3.3 Connections to collocation methods 1.3.4 Shortcut to error estimates 1.3.5 Numerical results 1.4 Results for affine linear problems 1.4.1 A slight modification of the method 1.4.2 Postprocessing for the modified method 1.4.3 Interpolation cascade 1.4.4 Derivatives of solutions 1.4.5 Numerical results 2 Error Analysis for Stiff Systems 2.1 Runge-Kutta-like discretization framework 2.1.1 Connection between collocation and Runge-Kutta methods and its extension 2.1.2 A Runge-Kutta-like scheme 2.1.3 Existence and uniqueness 2.1.4 Stability properties 2.2 VTD methods as Runge-Kutta-like discretizations 2.2.1 Block structure of A VTD 2.2.2 Eigenvalue structure of A VTD 2.2.3 Solvability and stability 2.3 (Stiff) Error analysis 2.3.1 Recursion scheme for the global error 2.3.2 Error estimates 2.3.3 Numerical results II Variational Time Discretization Methods for Parabolic Problems 3 Introduction to Parabolic Problems 3.1 Regularity of solutions 3.2 Semi-discretization in space 3.2.1 Reformulation as ode system 3.2.2 Differentiability with respect to time 3.2.3 Error estimates for the semi-discrete approximation 3.3 Full discretization in space and time 3.3.1 Formulation of the methods 3.3.2 Reformulation and solvability 4 Error Analysis for VTD Methods 4.1 Error estimates for the l th derivative 4.1.1 Projection operators 4.1.2 Global L2-error in the H-norm 4.1.3 Global L2-error in the V-norm 4.1.4 Global (locally weighted) L2-error of the time derivative in the H-norm 4.1.5 Pointwise error in the H-norm 4.1.6 Supercloseness and its consequences 4.2 Error estimates in the time (mesh) points 4.2.1 Exploiting the collocation conditions 4.2.2 What about superconvergence!? 4.2.3 Satisfactory order convergence avoiding superconvergence 4.3 Final error estimate 4.4 Numerical results Summary and Outlook Appendix A Miscellaneous Results A.1 Discrete Gronwall inequality A.2 Something about Jacobi-polynomials B Abstract Projection Operators for Banach Space-Valued Functions B.1 Abstract definition and commutation properties B.2 Projection error estimates B.3 Literature references on basics of Banach space-valued functions C Operators for Interpolation and Projection in Time C.1 Interpolation operators C.2 Projection operators C.3 Some commutation properties C.4 Some stability results D Norm Equivalences for Hilbert Space-Valued Polynomials D.1 Norm equivalence used for the cGP-like case D.2 Norm equivalence used for final error estimate Bibliography

Single-atom catalysts (SACs), as promising alternatives to Pt-based catalysts, suffer from the limited choice of center metals and low single-atom loading. Here, we report a pentacoordinated Zr-based SAC with nontrivial axial O ligands (denoted O−Zr−N−C) for oxygen reduction reaction (ORR). The O ligand downshifts the d-band center of Zr and confers Zr sites with stable local structure and proper adsorption capability for intermediates. Consequently, the ORR performance of O−Zr−N−C prominently surpasses that of commercial Pt/C, achieving a half-wave potential of 0.91 V vs. reversible hydrogen electrode and outstanding durability (92 % current retention after 130-hour operation). Moreover, the Zr site shows good resistance towards aggregation, enabling the synthesis of Zr-based SAC with high loading (9.1 wt%). With the high-loading catalyst, the zinc-air battery (ZAB) delivers a record-high power density of 324 mW cm−2 among those of SAC-based ZABs.

Highly responsive organic photodetectors allow a plethora of applications in fields like imaging, health, security monitoring, etc. Photomultiplication-type organic photodetectors (PM-OPDs) are a desirable option due to their internal amplification mechanism. However, for such devices, significant gain and low dark currents are often mutually excluded since large operation voltages often induce high shot noise. Here, a fully vacuum-processed PM-OPD is demonstrated using trap-assisted electron injection in BDP-OMe:C60 material system. By applying only −1 V, compared with the self-powered working condition, the responsivity is increased by one order of magnitude, resulting in an outstanding specific detectivity of ≈1013 Jones. Remarkably, the superior detectivity in the near-infrared region is stable and almost voltage-independent up to −10 V. Compared with two photovoltaic-type photodetectors, these PM-OPDs exhibit the great potential to be easily integrated with state-of-the-art readout electronics in terms of their high responsivity, fast response speed, and bias-independent specific detectivity. The employed vacuum fabrication process and the easy-to-adapt PM-OPD concept enable seamless upscaling of production, paving the way to a commercially relevant photodetector technology.

Der Einfluss von Nichtlinearitäten höherer Ordnung der Magnetfelder auf die Leistung des Large Hadron Collider (LHC) und dessen geplante High-Luminosity-Aufrüstung, dem HL-LHC, wurde umfangreich untersucht. Insbesondere hat sich gezeigt, dass das Vorhandensein solcher Fehler in den Insertion Regions (IR) erhebliche Auswirkungen hat, bedingt durch hohe Beta-Funktionen und Feed-Down auf niedrigere Ordnungen aufgrund der Kreuzungsschemata. Augenmerk dieser Arbeit ist auf die Erforschung diverser Methoden zur effektiven Behandlung dieser Nichtlinearitäten höherer Ordnung gerichtet, mit dem Ziel, sie zu identifizieren und korrigieren, um die Strahloptik zu optimieren und die Maschinenleistung zu verbessern. Simulationsstudien werden eingesetzt, in denen mit verschiedenen Fehlerquellen assoziierte Resonanzantreibende Terme (RDTs) gezielt angegangen werden. Besondere Aufmerksamkeit gilt Dekapol- und Dodekapolfehlern, die in früheren Messungen im LHC schädliche Auswirkungen durch Feed-Down auf Amplituden-Detuning gezeigt haben. Die erwartete Erhöhung der Sensitivität der Optik gegenüber Fehlern in den IRs des HL-LHC unterstreicht weiter die Bedeutung der Behandlung dieser Fehler. Des Weitern werden Korrekturoptionen mit Hilfe der nichtlinearen Korrektorpaketen entwickelt. Experimentelle Studien werden durchgeführt, um die Ergebnisse zu validieren. Erhebliche Anstrengungen wurden unternommen, um die Feed-Down Effekte von Dekapol- und Dodekapol-Feldfehlern zu mindern. Um diese Herausforderung anzugehen, wurden neuartige Korrekturalgorithmen eingeführt, die erstmals die Dodekapol-Korrektoren in den IRs im operationellen Betrieb ansteuern. Die Ergebnisse dieser Experimente liefern wertvolle Erkenntnisse zur Minderung von Fehlern höherer Ordnung und tragen zum besseren Verständnis der Strahldynamik in modernen und zukünftigen Teilchenbeschleunigern bei. / The impact of high-order nonlinear magnetic field errors on the performance of the Large Hadron Collider (LHC) and its planned High-Luminosity upgrade, the HL-LHC, has been extensively studied. Particularly, the presence of such errors in the Insertion Regions (IR) has shown significant repercussions due to the high beta-functions and feed-down to lower orders caused by crossing schemes. This thesis aims to explore different methods for effectively addressing these high-order errors, with the ultimate goal of identifying and correcting them to optimize beam optics and enhance machine performance. Simulation studies are employed, using a novel and flexible correction algorithm developed during the course of this PhD research. Various strategies are investigated to improve corrections by targeting Resonance Driving Terms (RDTs) associated with diverse error sources. Special attention is devoted to decapole and dodecapole errors, which have demonstrated detrimental effects on amplitude detuning due to feed-down based on previous measurements in the LHC. The anticipated increase in optics sensitivity to errors in the IRs of the HL-LHC further underscores the importance of addressing these errors. Correction options are evaluated, focusing on the utilization of the nonlinear corrector packages to address errors in the new separation and recombination dipoles in the HL-LHC, where increased decapole errors had been expected. Experimental studies are conducted to validate the findings. Significant efforts are dedicated to mitigating the feed-down effects arising from decapole and dodecapole field errors. To address this challenge, novel corrections involving the operational implementation of dodecapole correctors in the IRs have been introduced for the first time. The results of these experiments provide valuable insights into the mitigation of high-order errors and contribute to the overall understanding of beam dynamics in advanced particle accelerators.

Die Fernerkundung war in den vergangenen Jahren von einschneidenden Umbrüchen gekennzeichnet, die sich besonders in der stark gestiegenen geometrischen Bodenauflösung der Sensoren und den damit einhergehenden Veränderungen der Verarbeitungs- und Auswertungsverfahren widerspiegeln. Sehr hoch auflösende Satellitenbilddaten - definiert durch eine Auflösung zwischen einem halben und einem Meter - existieren seit dem Start von IKONOS Ende 1999. Etwa im selben Zeitraum wurden extrem hoch auflösende digitale Flugzeugkameras (0,1 bis 0,5 m) entwickelt. Dieser Arbeit liegen IKONOS-Daten mit einer Auflösung von einem (panchromatischer Kanal) bzw. vier Metern (Multispektraldaten) zugrunde. Bedingt durch die Eigenschaften sehr hoch aufgelöster Bilddaten (z. B. Detailgehalt, starke spektrale Variabilität, Datenmenge) lassen sich bisher verfügbare Standardverfahren der Bildverarbeitung nur eingeschränkt anwenden. Die Ergebnisse der in dieser Arbeit getesteten Verfahren verdeutlichen, dass die Methoden- bzw. Softwareentwicklung mit den technischen Neuerungen nicht Schritt halten konnte. Einige Verfahren werden erst allmählich für sehr hoch auflösende Daten nutzbar (z. B. atmosphärisch-topographische Korrektur). Die vorliegende Arbeit zeigt, dass Daten dieses Auflösungsbereiches mit bisher verwendeten pixelbasierten, statistischen Klassifikationsverfahren nur unzulänglich ausgewertet werden können. Die hier untersuchte Anwendung von Bildsegmentierungsmethoden hilft, die Nachteile pixelbasierter Verfahren zu überwinden. Dies wurde durch einen Vergleich pixel- und segmentbasierter Klassifikationsverfahren belegt. Im Rahmen einer Segmentierung werden homogene Bildbereiche zu Regionen verschmolzen, welche die Grundlage für die anschließende Klassifikation bilden. Hierzu stehen über die spektralen Eigenschaften hinaus Form-, Textur- und Kontextmerkmale zur Verfügung. In der verwendeten Software eCognition lassen sich diese Klassifikationsmerkmale zudem auf Grundlage des fuzzy-logic-Konzeptes in einer Wissensbasis (Entscheidungsbaum) umsetzen. Ein Vergleich verschiedener, derzeit verfügbarer Segmentierungsverfahren zeigt darüber hinaus, dass sich mit der genutzten Software eine hohe Segmentierungsqualität erzielen lässt. Der wachsende Bedarf an aktuellen Geobasisdaten stellt für sehr hoch auflösende Fernerkundungsdaten eine wichtige Einsatzmöglichkeit dar. Durch eine gezielte Klassifikation der Bilddaten lassen sich Arbeitsgrundlagen für die hier betrachteten Anwendungsfelder Landschaftsplanung und Landschaftsökologie schaffen. Die dargestellten Beispiele von Landschaftsanalysen durch die segmentbasierte Auswertung von IKONOS-Daten zeigen, dass sich eine Klassifikationsgüte von 90 % und höher erreichen lässt. Zudem können die infolge der Segmentierung abgegrenzten Landschaftseinheiten eine Grundlage für die Berechnung von Landschaftsstrukturmaßen bilden. Nationale Naturschutzziele sowie internationale Vereinbarungen zwingen darüber hinaus zur kontinuierlichen Erfassung des Landschaftsinventars und dessen Veränderungen. Fernerkundungsdaten können in diesem Bereich zur Etablierung automatisierter und operationell einsatzfähiger Verfahren beitragen. Das Beispiel Biotop- und Landnutzungskartierung zeigt, dass eine Erfassung von Landnutzungseinheiten mit hoher Qualität möglich ist. Bedingt durch das Auswertungsverfahren sowie die Dateneigenschaften entspricht die Güte der Ergebnisse noch nicht vollständig den Ansprüchen der Anwender, insbesondere hinsichtlich der erreichbaren Klassifikationstiefe. Die Qualität der Ergebnisse lässt sich durch die Nutzung von Zusatzdaten (z. B. GIS-Daten, Objekthöhenmodelle) künftig weiter steigern. Insgesamt verdeutlicht die Arbeit den Trend zur sehr hoch auflösenden digitalen Erderkundung. Für eine breite Nutzung dieser Datenquellen ist die weitere Entwicklung automatisierter und operationell anwendbarer Verarbeitungs- und Analysemethoden unerlässlich. / In recent years remote sensing has been characterised by dramatic changes. This is reflected especially by the highly increased geometrical resolution of imaging sensors and as a consequence thereof by the developments in processing and analysis methods. Very high resolution satellite imagery (VHR) - defined by a resolution between 0.5 and 1 m - exists since the start of IKONOS at the end of 1999. At about the same time extreme high resolution digital airborne sensors (0.1 till 0.5 m) have been developed. The basis of investigation for this dissertation is IKONOS imagery with a resolution of one meter (panchromatic) respectively four meters (multispectral). Due to the characteristics of such high resolution data (e.g. level of detail, high spectral variability, amount of data) the use of previously available standard methods of image processing is limited. The results of the procedures tested within this work demonstrate that the development of methods and software was not able to keep up with the technical innovations. Some procedures are only gradually becoming suitable for VHR data (e.g. atmospheric-topographic correction). Additionally, this work shows that VHR imagery can be analysed only inadequately using traditional pixel-based statistical classifiers. The herein researched application of image segmentation methods helps to overcome drawbacks of pixel-wise procedures. This is demonstrated by a comparison of pixel and segment-based classification. Within a segmentaion, homogeneous image areas are merged into regions which are the basis for the subsequent classification. For this purpose, in addition to spectral features also formal, textural and contextual properties are available. Furthermore, the applied software eCognition allows the definition of the features for classification based on fuzzy logic in a knowledge base (decision tree). An evaluation of different, currently available segmentation approaches illustrates that a high segmentation quality is achievable with the used software. The increasing demand for geospatial base data offers an important field of application for VHR remote sensing data. With a targeted classification of the imagery the creation of working bases for the herein considered usage for landscape planning and landscape ecology is possible. The given examples of landscape analyses using a segment-based processsing of IKONOS data show an achievable classification accuracy of 90 % and more. The landscape units delineated by image segmentation could be used for the calculation of landscape metrics. National aims of nature conservation as well as international agreements constrain a continuous survey of the landscape inventory and the monitoring of its changes. Remote sensing imagery can support the establishment of automated and operational methods in this field. The example of biotope and land use type mapping illustrates the possibility to detect land use units with a high precision. Depending on the analysis method and the data characteristics the quality of the results is not fully equivalent to the user?s demands at the moment, especially concerning the achievable depth of classification. The quality of the results can be enhanced by using additional thematic data (e.g. GIS data, object elevation models). To summarize this dissertation underlines the trend towards very high resolution digital earth observation. Thus, for a wide use of this kind of data it is essentially to further develop automated and operationally useable processing and analysis methods.

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