Electric machines are a key technology for energy conversion and decarbonisation of the electric grid. This emphasizes the importance of simulation and optimization tools for electric motors, which enable a rapid design process considering material and energy efficiency. New concepts for the simulation and optimisation of electric machines are investigated […]
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In the industrial design process of high-voltage equipment, the simulation of electroquasistatic problems is frequently applied. One example of such a case are insulators (see Figure). The simulation and optimization of the electric field, i.e. to avoid overvoltages, within these insulators are important for ensuring the safety and reliability of […]
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Refrigeration has a remarkable and often underestimated impact on global warming: globally, about 20% of the total electric energy is used for refrigeration. Additionally, conventional refrigerators work using a gas-compression cycle, and the corresponding working gas has a large global warming potential. Thus, working gas leakage leads to direct greenhouse […]
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TU Darmstadt, TU Graz, JKU Linz and RICAM (ÖAW) collaborate in the first German-Austrian Collaborative Research Centre/Transregio CREATOR – Computational Electrical Machine Laboratory (TRR361/F90). It is funded by the German Research Foundation (DFG) and the Austrian Science Fund FWF. The interdisciplinary project consists of 18 principal investigators and more than 20 doctoral […]
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My name is Tatiana Kossaczká and I am a PhD student in the Applied and Computational Mathematics Group at the University of Wuppertal. Already during my master studies I became familiar with different numerical methods for solving partial differential equations (PDE). In my master thesis I focused on the application […]
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My name is Lorenc Kapllani and I am a PhD student in the Applied and Computational Mathematics group at the University of Wuppertal. My research focuses on the development of efficient deep learning-based algorithms for solving high-dimensional nonlinear backward stochastic differential equations (BSDEs) and quantifying their uncertainty. The primary motivation […]
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My name is Anna Clevenhaus and I am a PhD student in the Applied and Computational Mathematics (ACM) group at the University of Wuppertal, where I also received my Bachelor’s and Master’s degrees. My main research interest is the improvement of numerical methods, especially the improvement of computational efficiency. Why […]
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My name is Friedemann Klaß, I am a PhD student in the Applied and Computational Mathematics (ACM) working group at the University of Wuppertal. I am working in the field of Computational Fluid Dynamics, where I am developing boundary conditions (BC) for the multi-speed Lattice Boltzmann Method (LBM). The LBM […]
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One of the most captivating questions of our time is: What is the world made of, and what holds it together? Quantum Chromodynamics (QCD) endeavors to provide an answer to this profound question. First proposed in 1973, QCD constitutes the sector of the standard model responsible for describing the strong nuclear […]
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4th Workshop on Stability and Control of Infinite-Dimensional Systems (SCINDIS 2023), September 27-29, 2023 in Wuppertal The Institute of Mathematical Modelling, Analysis and Computational Mathematics (IMACM) of the University of Wuppertal organized the 4th Workshop on Stability and Control of Infinite-Dimensional Systems (SCINDIS 2023). The workshop aimed in particular to […]
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