Forecasting small-scale dynamics of fluid turbulence using deep neural networks

Engineering

• Scale Dynamic 100%
• Reynolds' Number 100%
• Deep Neural Network 100%
• Velocity Gradient 75%
• Deep Learning 50%
• Scale Range 50%
• Physical Constraint 25%
• Tasks 25%
• Scale Feature 25%
• Fluid Flow 25%
• Direct Numerical Simulation 25%
• High Reynolds Number 25%
• Laplace Operator 25%
• Scale Motion 25%
• Flow Reynolds Number 25%

Keyphrases

• Velocity Gradient Tensor 66%
• Pressure Hessian 33%
• Functional Closure 33%
• Physics-informed Deep Learning 33%