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retrieval-augmented generation open fundamentally new possibilities for automating and scaling this process. In this project, you will develop intelligent computational systems that combine constraint-based
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to address these challenges. The research will investigate: Ontology- and KG-enhanced language models Domain-specific language models and retrieval-augmented generation Knowledge grounding, constraint-aware
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results from our group, including DNS/LES studies of AM roughness showing enhanced turbulence and heat-transfer augmentation. This project is conducted at Lund University (LTH) in close collaboration with
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