2 citations · 3 across the 2 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…
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…
Toward a Better Understanding of Fourier Neural Operators from a Spectral Perspective
Shaoxiang Qin, Fuyuan Lyu, Wenhui Peng +7
In solving partial differential equations (PDEs), Fourier Neural Operators (FNOs) have exhibited notable effectiveness. However, FNO is observed to be ineffective with large Fourie…
Fourier neural operator for real-time simulation of 3D dynamic urban microclimate
Wenhui Peng, Shaoxiang Qin, Senwen Yang +3
Global urbanization has underscored the significance of urban microclimates for human comfort, health, and building/urban energy efficiency. They profoundly influence building desi…