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machine. We develop quasi-Newton coupling algorithms for partitioned simulation of FSI, and we solve challenging FSI problems in the energy transition and in industry. This research is often in
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Economics » Cyclical economics Economics » Econometrics Economics » Economic policy Economics » Economic systems Economics » Economic theory Economics » Economics of development Economics » Environmental
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project focuses on developing ultra-reliable spatiotemporal (4D) predictions using trustworthy, distributed AI-driven intelligence deployed across heterogeneous aerial nodes. To achieve this, an aerial
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machine. We develop quasi-Newton coupling algorithms for partitioned simulation of FSI, and we solve challenging FSI problems in the energy transition and in industry. This research is often in
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and condition-monitoring experts, ensuring a multidisciplinary environment. The project aims to develop high-fidelity dynamic multi-body simulation (MBS) models with elastic bodies and elasto
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algorithms need to be developed to determine the winners of the auction, as well as intermediate feedback that can be communicated to the bidders, to facilitate the bidding process. The market-based research
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-structure interaction (FSI) with focus on the fluid mechanics. We couple computational fluid dynamics (CFD) to a structural solver and/or a controller for the detailed simulation of a machine. We develop
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will design, implement, and validate novel algorithms, and benchmark them against state-of-the-art reconstruction pipelines. Strong programming skills (e.g., Python/C++ and GPU-based computing) and
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models. The project involves close collaboration with experimental facilities as well as simulation and condition-monitoring experts, ensuring a multidisciplinary environment. The project aims to develop