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Within this book fabrication processes for high-quality Josephson junctions based on niobium and aluminum oxide as well as niobium nitride and aluminum nitride on various substrates are discussed. Techniques for achieving a planar chip topography and sub-μm lateral dimensions, aiding the realization of sophisticated Josephson devices such as SQUIDs, flux-flow oscillators and long Josephson junctions with artificial phase discontinuities, are presented in detail.
Das Institut für Hochleistungsimpuls- und Mikrowellentechnik (IHM) forscht auf den Gebieten der gepulsten Leistung und der Hochleistungsmikrowellentechnologie. Die Anwendungen für Impulsstromtechnologien reichen von der Materialbearbeitung bis zur Bioelektrik. Hochleistungsmikrowellentechnologien konzentrieren sich auf HF-Quellen (Gyrotrons) für die Elektronenzyklotronresonanzheizung von magnetisch eingeschlossenen Plasmen und auf Anwendungen für die Materialbearbeitung bei Mikrowellenfrequenzen. - The Institute for Pulsed Power and Microwave Technology (IHM) is doing research in the areas of pulsed power and high-power microwave technologies. Applications for pulsed power technologies are ranging from materials processing to bioelectrics. High power microwave technologies are focusing on RF sources (gyrotrons) for electron cyclotron resonance heating of magnetically confined plasmas and on applications for materials processing at microwave frequencies.
Der Tagungsband "Hybridantriebe für mobile Arbeitsmaschinen" enthält die gesammelten Beiträge zu den Vorträgen der 4. Fachtagung am 20. Februar 2013. In 13 Artikeln wird über den Stand der Forschung und neue Entwicklungen auf dem Gebiet der Hybridantriebe für mobile Arbeitsmaschinen berichtet. Die Themenschwerpunkte liegen auf Systemauslegung und Betriebsstrategien, der Potenzialabschätzung, der Simulation und Modellbildung, den elektrischen Antriebslösungen sowie Praxiserfahrungen.
For the analysis and optimization of the picosecond pulsed terahertz radiation generated by electron storage rings or other pulsed sources, ultra-fast detectors are required which are able to resolve picosecond dynamic processes directly in the time domain. In this book, a new direct terahertz detector technology based on the high-temperature superconductor YBa2Cu3O7-x has been developed which opens new routes in the analysis of picosecond time-domain processes with a wide dynamic range.
The emergence of a global and technological world and its accelerating, dissemination before the beginning of the 21st century does not only give rise to technological, economic, social, environmental, political, and educational tasks. Significant philosophical questions, epistemic reflections, and cultural debates result. The aim of this book is to provide information about epistemic, ethical, and cultural implications of sustainable development on an interdisciplinary and international level.
This work describes a method for weighted least squares approximation of an unbounded number of data points using a B-spline function. The method can shift the bounded B-spline function definition range during run-time. The approximation method is used for optimizing velocity trajectories for an electric vehicle with respect to travel time, comfort and energy consumption. The trajectory optimization method is extended to a driver assistance system for automated vehicle longitudinal control.
Diese Arbeit beschreibt die Entwicklung einer Technologie für die Herstellung hochqualitativer sub-μm Nb/Al-AlOx/Nb-Josephson-Kontakte. Mit den dadurch entstandenen Bauteilen wurden verschiedene experimentell zuvor noch nicht beobachtete makroskopische Quanteneffekte nachgewiesen. Weiterhin wurden Nb-basierte Phasen-Qubits entworfen, hergestellt und gemessen, die längere Kohärenzzeiten als vergleichbare Bauelemente aus der Literatur aufweisen.
Deep learning is widely applied to sparse 3D data to perform challenging tasks, e.g., 3D object detection and semantic segmentation. However, the high performance of deep learning comes with high costs, including computational costs and the effort to capture and label data. This work investigates and improves the efficiency of deep learning for sparse 3D data to overcome the obstacles to the further development of this technology.