A multiscale transformer with a new collective-based parallel attention method is claimed to be the first deep-learning model to reproduce small-scale turbulence statistics down to the viscous limit in 3D flow.
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Pixel-Resolved Long-Context Learning for Turbulence at Exascale: Resolving Small-scale Eddies Toward the Viscous Limit
A multiscale transformer with a new collective-based parallel attention method is claimed to be the first deep-learning model to reproduce small-scale turbulence statistics down to the viscous limit in 3D flow.