A patch-based 'Local-FNO' neural operator predicts three wind components and temperature in a 3D urban domain at 10 m resolution, running about 50 times faster than a CFD solver with small average errors over 60 seconds of rollout.
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Modeling Multivariable High-resolution 3D Urban Microclimate Using Localized Fourier Neural Operator
A patch-based 'Local-FNO' neural operator predicts three wind components and temperature in a 3D urban domain at 10 m resolution, running about 50 times faster than a CFD solver with small average errors over 60 seconds of rollout.