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Shaping the Wind: Nested Potentials for Kinematically Admissible Urban Wind Prediction

Wang, Yidi et al.
arXiv (All) · Papers
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machine-learning
Predicting transient urban winds is fundamental to understanding urban microclimates and designing climate-resilient cities. Building-resolving large-eddy simulation produces detailed incompressible urban wind fields at substantial computational cost for each layout. Neural surrogates offer a faster
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