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cross-border network — the Upper Rhine Biodiversity Cluster — to share knowledge. This work will lead to analytical tools, action plans, training for professionals, and exhibitions for the general public
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framework, covering a wide spectrum from RANS approaches to high-fidelity LES with automatic mesh adaptation. In parallel, recent work has led to the development of multi-fidelity modeling strategies
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