12 citations · 16 across the 7 of their papers we have counts for
7 papers
The Rise of Quantum Computing -- Take a BITE for Built Environment and Urban Microclimate Research
Liangzhu Leon Wang, Huiheng Liu, Honghao Fu +3
Quantum computing is a new approach to computation that utilizes superposition, entanglement, interference, and tunneling to solve problems too complex for classical computers. Thi…
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 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…