Fourier neural operator for real-time simulation of 3D dynamic urban microclimate
The Fourier Neural Operator (FNO) model was applied to simulate 3D urban wind fields in real-time. Trained on Computational Fluid Dynamics (CFD) data, the FNO accurately reconstructs instantaneous spatial velocity fields with high accuracy. The model demonstrates strong generalization across different wind directions and achieves over 25 times faster simulation speeds than traditional numerical solvers, enabling real-time dynamic microclimate modeling.