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Li, Z., Peng, W., Yuan, Z., & Wang, J. (2022). Fourier neural operator approach to large eddy simulation of three-dimensional turbulence. Theoretical and Applied Mechanics Letters, 12(6), 100389 (7 pages). External link
Peng, W. (2023). Applications of Deep Learning in Fluid Dynamics [Ph.D. thesis, Polytechnique Montréal]. Restricted access
Peng, W., Yuan, Z., Li, Z., & Wang, J. (2023). Linear attention coupled Fourier neural operator for simulation of three-dimensional turbulence. Physics of Fluids, 35(1), 17 pages. External link
Peng, W., Yuan, Z., & Wang, J. (2022). Attention-enhanced neural network models for turbulence simulation. Physics of Fluids, 34(2), 025111 (17 pages). External link
Peng, W., Zhang, Y., & Desmarais, M. C. (2022, January). Deep Neural Network for Airfoil Optimization [Paper]. AIAA Science and Technology Forum and Exposition (AIAA SciTech Forum 2022), San Diego, CA, USA. External link
Peng, W., Zhang, Y., Laurendeau, É., & Desmarais, M. C. (2022). Learning aerodynamics with neural network. Scientific Reports, 12(1), 6779 (10 pages). External link
Peng, W., Zhang, Y., & Desmarais, M. C. (2021, January). Spatial convolution neural network for efficient prediction of aerodynamic coefficients [Paper]. AIAA SciTech Forum. External link
