12 citations · 18 across the 6 of their papers we have counts for
9 papers
Conditional Flow Matching for Generation of 3D Multi-variable Instantaneous Urban Microclimate Fields
Peng Liu, Shaoxiang Qin, Theodore Potsis +3
Rapid and accurate prediction of urban wind and temperature fields is important for urban microclimate design and climate adaptation. Large-eddy simulation (LES) effectively resolv…
Scale-Split Neural Operator for Memory- and Data-Efficient 3D Turbulence Prediction
Shaoxiang Qin, Yucheng Zhao, Zongyi Li +2
Neural surrogates have emerged as fast alternatives to the numerical simulation of three-dimensional turbulence. However, training them at high resolution remains challenging, sinc…
GeoWind2Plan: Mission-Time 3D Urban Wind Prediction for Energy-Efficient UAV Planning
Shaoxiang Qin, Yucheng Zhao, Fuyuan Lyu +6
In urban low-altitude flight, buildings reshape ambient wind into spatially varying 3D flow, making unmanned aerial vehicle (UAV) energy depend on local wind exposure as well as pa…
Fast localized urban microclimate emulator: wind and temperatures in unseen urban morphologies
Shaoxiang Qin, Theodore Potsis, Dongxue Zhan +3
Urban microclimate, encompassing wind and temperature fields shaped by building geometry, strongly affects building energy use, pedestrian wind comfort, pollutant dispersion, the u…
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…
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…