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FLUME-FNO: data-efficient and scalable prediction of 3D wind and temperature fields in unseen urban morphologies
Shaoxiang Qin, Theodore Potsis, Dongxue Zhan +3
Urban microclimate, encompassing wind and temperature fields shaped by building geometry, significantly impacts energy consumption, pedestrian winds, pollutant dispersion, urban he…
Using Diffusion Models for Reducing Spatiotemporal Errors of Deep Learning Based Urban Microclimate Predictions at Post-Processing Stage
Sepehrdad Tahmasebi, Geng Tian, Shaoxiang Qin +3
Computational fluid dynamics (CFD) is a powerful tool for modeling turbulent flow and is commonly used for urban microclimate simulations. However, traditional CFD methods are comp…
Modeling Multivariable High-resolution 3D Urban Microclimate Using Localized Fourier Neural Operator
Shaoxiang Qin, Dongxue Zhan, Dingyang Geng +6
Accurate urban microclimate analysis with wind velocity and temperature is vital for energy-efficient urban planning, supporting carbon reduction, enhancing public health and comfo…
Fourier neural operator for large eddy simulation of compressible Rayleigh-Taylor turbulence
Tengfei Luo, Zhijie Li, Zelong Yuan +5
The Fourier neural operator (FNO) framework is applied to the large eddy simulation (LES) of three-dimensional compressible Rayleigh-Taylor (RT) turbulence with miscible fluids at…