Deep learning methods evaluation to predict air quality based on Computational Fluid Dynamics

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

Maziar Raissi, Paris Perdikaris, George Em Karniadakis · Journal of Computational Physics · 2018 · 14.4K citations · Full text

Engineering, Pde-constrained Optimization, Deep Learning Framework +6

Development of turbulence models for shear flows by a double expansion technique

Victor Yakhot, Steven A. Orszag, S. Thangam et al. · Physics of Fluids A Fluid Dynamics · 1992 · 2.7K citations

Numerical Analysis, Engineering, Fluid Mechanics +24

MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation

Nabil Ibtehaz, M. Sohel Rahman · Neural Networks · 2019 · 2.2K citations · Full text

Convolutional Neural Network, Machine Vision, Image Analysis +14

Air quality model performance evaluation

Joseph Chang, Steven R. Hanna · Meteorology and Atmospheric Physics · 2004 · 1.1K citations

Environmental Monitoring, Engineering, Air Pollution Measurement +5

50 years of Computational Wind Engineering: Past, present and future

Bert Blocken · Journal of Wind Engineering and Industrial Aerodynamics · 2014 · 767 citations · Full text

Engineering, Wind Power Generation, Computer Engineering +7