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This seems like a perfect thread to ask a question that is itching me for some time. Is anyone aware of deep learning approaches or some combo with geometry algorithms for mesh generation? Something like quad, hex or tetrahedral meshing aided with deep learning?

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Interested in where you're going with this. What are the advantages you are seeking out? I've done some computational geometry with slice data from meshes, but have been operating off of STL files, not a feature-based format.

Just interested in simple mesh algorithms. I feel as if machine learning could help but almost no one is going in this direction. Higher order quad and hex meshing is not a solved problem, and could help in a bunch of numerical physics algorithms.

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