Physics Informed Neural Network application on mixing and heat transfer in combined electroosmotic-pressure driven flow

Keyphrases

• Pressure-driven Flow 100%
• Heat Transfer 100%
• Neural Network Applications 100%
• Physics-informed Neural Networks 100%
• Governing Equations 18%
• Numerical Simulation 9%
• Boundary Layer 9%
• Navier-Stokes Equations 9%
• Neural Network Method 9%
• Normalized Mean 9%
• Zeta Potential 9%
• Uniformly Distributed 9%
• Detailed numerical Simulation 9%
• Fluid Dynamics 9%
• Training Effectiveness 9%
• Pressure Control 9%
• Point Distribution 9%
• Energy Equation 9%
• Finite Volume Method 9%
• Total Loss 9%
• Laplace 9%
• Poisson-Boltzmann 9%
• Collocation Points 9%
• Mean Absolute Percentage Error 9%
• Heat Transfer Characteristics 9%
• Zeta Potential Distribution 9%
• Velocity Prediction 9%
• Concentration Equation 9%
• Training Loss 9%
• Multi-structure 9%
• Solution-focused 9%
• Neural Network Solution 9%

Material Science

• Fluid Dynamics 100%
• Boundary Layer 100%