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        Microstructure modeling and crystal plasticity parameter identification for predicting the cyclic mechanical behavior of polycrystalline metals 

        Kuhn, Jannick (2023)
        Computational homogenization permits to capture the influence of the microstructure on the cyclic mechanical behavior of polycrystalline metals. In this work we investigate methods to compute Laguerre tessellations as ...
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        Vibroakustische Analyse eines elektrischen Radnabenmotors und Optimierung durch geeignete Steuerungsansätze 

        Stretz, Dominik (2023)
        This work deals with the mechanisms of disturbing noises at the electric wheel hub motor and describes a multiphysical model which simulates them. From this, countermeasures are derived and evaluated. A vibroacoustical ...
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        In Situ Characterization and Modelling of Drying Dynamics for Scalable Printing of Hybrid Perovskite Photovoltaics 

        Ternes, Simon (2023)
        Hybrid perovskite photovoltaics could play a vital role in future’s renewable energy production. However, there are still severe challenges when scaling the technology. In this work, perovskite solution films drying in ...
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        Numerische Modellierung und Simulation von bleifreien Relaxor-Ferroelektrikum-Kompositen 

        Streich, Friedemann (2023)
        The electromechanical behavior of two new sodium bismuth titanate based lead-free ferroelectric materials as well as bilayer composites are investigated in experiments and numerical simulations. For the Finite-Element-Method, ...
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        Local Probing of a Superconductor’s Quasiparticles and Bosonic Excitations with a Scanning Tunnelling Microscope 

        Gozlinski, Thomas (2023)
        Complementary to scattering techniques, scanning tunnelling microscopy provides atomic-scale real space information about a material's electronic state of matter. State-of-the-art designs of a scanning tunnelling microscope ...
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        Perspectives on warm conveyor belts - sensitivities to ensemble configuration and the role for forecast error 

        Pickl, Moritz (2023)
        Warm conveyor belts (WCBs) are weather systems that substantially modulate the large-scale extratropical circulation. As they can amplify forecast errors and project them onto the Rossby wave pattern, they are of high ...
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        Multi-field modeling and simulation of fiber-reinforced polymers 

        Schulte, Jonathan (2023)
        This work proposes a new numerical approach for analyzing the behavior of fiber-reinforced materials, which have gained popularity in various applications. The approach combines theories and methods to model the fracture ...
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        Das „friedliche Atom“ als Narrativ in Politik, Wissenschaft und Design 

        Gantner, Manuela (2023)
        The work deals with the iconography of the atom from the euphoria about nuclear technology of the 1950s to the anti-nuclear movement of the 1970s in the Federal Republic of Germany. Using the life and work of the German ...
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        Hybrid photonic assemblies based on 3D-printed coupling structures 

        Xu, Yilin (2023)
        Photonic integrated circuits (PIC) become increasingly important for numerous applications. Mass production of PIC has become widely available, but large-volume low-cost photonic packaging still represents a challenge. ...
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        Multiscale Cohort Modeling of Atrial Electrophysiology 

        Nagel, Claudia (2023)
        An early detection and diagnosis of atrial fibrillation sets the course for timely intervention to prevent potentially occurring comorbidities. Electrocardiogram data resulting from electrophysiological cohort modeling and ...
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        Deep Reinforcement Learning zur Steigerung von Energieeffizienz und Pünktlichkeit von Straßenbahnen 

        Tesar, Markus (2023)
        This work investigates how the energy efficiency and punctuality of streetcars can be increased by using AI. The AI is trained on two scenarios at three traffic times each. The determined driving profiles are compared with ...
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        Entwicklung einer Methode zum Einsatz von Reinforcement Learning für die dynamische Fertigungsdurchlaufsteuerung 

        Lohse, Oliver (2023)
        This work aims to develop a method that can reschedule the matrix production in the case of a disruption. For this purpose, different artificial intelligence methods are combined in a novel way. The developed method is ...
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        Einflusswirkungen auf das Geschäftsmodell Carsharing – unter Berücksichtigung des Stakeholder-Ansatzes 

        Czech, Andreas (2023)
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        Über die Formalisierung und Analyse medizinischer Prozesse im Kontext von Expertenwissen und künstlicher Intelligenz 

        Philipp, Patrick (2023)
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        Entwicklung und Charakterisierung von Siliziumnitrid-/Siliziumkarbidkompositen für den Einsatz in tribologisch hochbeanspruchten Gleitsystemen 

        Zielonka, Paul S. (2023)
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        Thermische Untersuchungen an Laser-aktivierten Leuchtstoff-Systemen mit dynamischer Leuchtdichteverteilung 

        Vogl, Maximilian (2023)
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        Zur Wechselwirkung zwischen Fahrbahntextur und Laufstreifenmischung von Pkw-Reifen 

        Riehm, Patrick (2023)
        This work aims to gain an understanding of the interactions between tread compounds and surface texture on dry and wet road conditions. If, for example, a corundum surface, which is very well-established in the tire industry, ...
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        Hybride und energieeffiziente Antriebe für mobile Arbeitsmaschinen 

        Wissenschaftlicher Verein für Mobile Arbeitsmaschinen, Marcus Geimer, Christian Kunze (2023)
        This book contains the conference proceedings to the lectures of the 9th symposium on 28th February 2023 in Karlsruhe. The state of research and new developments in the field of drive technology for mobile machines are ...
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        A computational multi-scale approach for brittle materials 

        Ernesti, Felix (2023)
        Materials of industrial interest often show a complex microstructure which directly influences their macroscopic material behavior. For simulations on the component scale, multi-scale methods may exploit this microstructural ...
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        An analysis of current and future electricity production from biogas in Germany 

        Balussou, David (2023)
        In this work a process simulation model identifies the most profitable German biogas plant types and sizes. Small manure and large-scale biowaste plants are currently the most economically attractive installations whereas ...
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        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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