A novel physics informed deep learning method for simulation-based modelling

Keyphrases

• Deep Learning Methods 100%
• Partial Differential Equations 100%
• Physics-informed Deep Learning 100%
• Simulation-based Modeling 100%
• Computational Fluid Dynamics Modeling 50%
• Training Data 50%
• Analytical Solution 50%
• Analysis Modeling 50%
• Aerospace Applications 50%
• Mathematical Modeling 50%
• Modeling Tools 50%
• Neural Network Algorithm 50%
• Engineering Studies 50%
• Process Phases 50%
• Numerical Methodology 50%
• Learning Methodology 50%
• Physics-informed Neural Networks 50%
• Proposed Methodology 50%
• Partial Differential Equation Systems 50%

Engineering

• Deep Learning Method 100%
• Partial Differential Equation 100%
• Good Agreement 33%
• Applicability 33%
• Computational Fluid Dynamics 33%
• Analytical Model 33%
• Main Advantage 33%
• Dynamic Method 33%
• Initial and Boundary Condition 33%
• Artificial Neural Network 33%
• Equation System 33%
• Physics Informed Neural Network 33%

Chemical Engineering

• Deep Learning Method 100%
• Neural Network 50%