2 citations · 3 across the 3 of their papers we have counts for
4 papers
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…
Generalization of Urban Wind Environment Using Fourier Neural Operator Across Different Wind Directions and Cities
Cheng Chen, Geng Tian, Shaoxiang Qin +6
Simulation of urban wind environments is crucial for urban planning, pollution control, and renewable energy utilization. However, the computational requirements of high-fidelity c…
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…