Author:
Peng Xingwen,Yao Wen,Li Xingchen,Chen Xiaoqian
Reference49 articles.
1. Predicting high-fidelity multiphysics data from low-fidelity fluid flow and transport solvers using physics-informed neural networks;M Aliakbari;International Journal of Heat and Fluid Flow,2022
2. The proper orthogonal decomposition in the analysis of turbulent flows;G Berkooz;Annual Review of Fluid Mechanics,1993
3. Predicting the temporal dynamics of turbulent channels through deep learning;G Borrelli;International Journal of Heat and Fluid Flow,2022
4. Fast vacuum plume prediction using a convolutional neural networks-based direct simulation Monte Carlo method;G Cai;Aerospace Science and Technology,2022
5. The heat source layout optimization using deep learning surrogate modeling;X Chen;Structural and Multidisciplinary Optimization,2020