A TVD neural network closure and application to turbulent combustion

Keyphrases

• Neural Network 100%
• Network Applications 100%
• Turbulent Combustion 100%
• Network Closure 100%
• Total Variation Diminishing 100%
• Spurious Oscillations 66%
• Oscillation 33%
• Governing Equation 33%
• Discretized 33%
• Loss Function 33%
• Scalar Field 33%
• Penalization 33%
• Machine Learning 33%
• Closure Model 33%
• Network Parameters 33%
• Neural Network Training 33%
• Subgrid-scale Model 33%
• Non-oscillatory 33%
• Feasible Set 33%
• Nonlinear Hyperbolic 33%
• Boundedness Condition 33%
• Physical Reality 33%
• Turbulent Reacting Flows 33%
• Oscillatory Properties 33%
• Gradient Descent Training 33%
• Constrained Neural Networks 33%
• Hyperbolic Conservation Laws 33%
• Anti-diffusion 33%

Computer Science

• Neural Network 100%
• Total Variation 100%
• Gradient Descent 25%
• Network Parameter 25%
• Trained Neural Network 25%
• Machine Learning 25%
• Learning System 25%
• Discretized Equation 25%
• Hyperbolic Phenomenon 25%