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Mesh-based Super-resolution of Multiscale Detonation Flows with Graph Transformers

Barwey, Shivam et al.
arXiv (OAI Expanded) · Papers
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machine-learning
Super-resolution flow reconstruction using state-of-the-art data-driven techniques is valuable for a variety of applications, such as subgrid/subfilter closure modeling, accelerating spatiotemporal forecasting, data compression, and serving as an upscaling tool for sparse experimental measurements.
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