Each year, the Hans and Ria Messer foundation supports an outstanding early-career researcher at TU Darmstadt. This year the prize is endowed with 100,000€ and has been
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Category: TU Darmstadt
Darmstadt. SFB TRR Creator Receives Second Funding Period
We are pleased to share that the German and Austrian research agencies DFG and FWF have jointly approved the second funding period of the Collaborative
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Darmstadt. Enhancing AMR Performance with Optimized PM Assembly
This post discusses recent advances in the collaborative project “OptiMag“, carried out between Magnotherm Solutions GmbH and TU Darmstadt.
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Darmstadt. Parallel-In-Time methods for Uncertainty Quantification in Engineering Applications
Many engineering products are subject to uncertainties in material properties and geometric dimensions, e.g., due to manufacturing. Even small deviations can significantly influence the performance,
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Darmstadt. Scalable Algorithms for 3D Simulation of Electric Machines
Prototyping of electrical machines in 3D is becoming increasingly important. It offers more design options for optimization. It also allows the simulation of more complex
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Darmstadt. Multiphysical simulation of a permanent magnet assembly for magnetocaloric refrigeration
Magnetocaloric cooling is an emerging technology for room temperature refrigeration. It has the potential to surpass the established gas-vapor compression refrigeration system in terms of
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Darmstadt. Machine Learning for Scattering Problems
Designing complex engineering systems often relies on simulation and optimization. Examples include electric motors or high-frequency devices. These processes are based on the Finite Element
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Darmstadt. Advancing Electric Motor Design through novel Optimisation Techniques
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
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Darmstadt. Low-Frequency Stability in Electroquasistatic Simulations
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
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Darmstadt. Multiphysical Simulation and Optimisation for Magnetocaloric Refrigeration
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
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