Towards Efficient Simulations of Non-Equilibrium Chemistry in Hypersonic Flows: Application of Neural Operators in Multidimensional CFD Simulations

Keyphrases

• Efficient Simulation 100%
• Computational Fluid Dynamics Simulation 100%
• Hypersonic Flow 100%
• Non-equilibrium Chemistry 100%
• Neural Operators 100%
• Governing Equation 33%
• Integration Scheme 33%
• Computational Fluid Dynamics 33%
• Numerical Experiments 33%
• 2D Geometry 33%
• Further Development 33%
• Computationally Intensive 33%
• Computational Accuracy 33%
• Relative Error 33%
• Any Dimension 33%
• Dynamic Environment 33%
• Non-equilibrium Model 33%
• Quantity of Interest 33%
• High-speed Flow 33%
• 1D-2D 33%
• Steady-state Solution 33%
• Computational Performance 33%
• Novel numerical 33%
• Numerical Framework 33%
• Resolution Invariance 33%
• Implicit Method 33%
• Fast Evaluation 33%
• Machine Learning Based 33%
• Operator Basis 33%
• Apollo 33%
• Operator Splitting 33%
• Surrogate Model 33%
• Deep Neural Network 33%
• Thermal Non-equilibrium 33%
• Zero-dimensional Simulation 33%
• Time Integrator 33%
• Optimal Integration 33%
• Splitting Time 33%
• Multidimensional Configuration 33%

Engineering

• Nonequilibrium 100%
• Computational Fluid Dynamics 100%
• Hypersonic Flows 100%
• Numerical Experiment 50%
• State Solution 50%
• Relative Error 50%
• Equilibrium Model 50%
• Implicit Method 50%
• Deep Neural Network 50%

Chemical Engineering

• Learning System 100%
• Deep Neural Network 100%