Machine-learning-based spatio-temporal super resolution reconstruction of turbulent flows

Mathematics

• Super-resolution 100%
• Turbulent Flow 79%
• Machine Learning 72%
• Turbulent Channel Flow 23%
• Supervised Learning 18%
• Direct numerical Simulation 18%
• Multiscale Model 18%
• Snapshot 18%
• Wake 17%
• Data Flow 17%
• Model 17%
• Network Structure 16%
• High Resolution 16%
• Flow Field 15%
• Turbulence 14%
• Correlation coefficient 13%
• Training 13%
• Fluid Flow 12%
• Neural Networks 12%
• Model-based 11%
• Robustness 10%
• Three-dimensional 9%
• Range of data 8%
• Interval 7%
• Concepts 6%

Physics & Astronomy

• machine learning 83%
• turbulent flow 61%
• multiscale models 22%
• homogeneous turbulence 21%
• isotropic turbulence 20%
• channel flow 18%
• correlation coefficients 17%
• direct numerical simulation 16%
• education 16%
• wakes 15%
• fluid flow 15%
• flow distribution 13%
• intervals 12%
• high resolution 9%

Engineering & Materials Science

• Turbulent flow 66%
• Machine learning 48%
• Direct numerical simulation 16%
• Channel flow 14%
• Convolutional neural networks 11%
• Turbulence 11%
• Flow of fluids 11%
• Flow fields 10%