A new adaptive multi-fidelity metamodel method using meta-learning and Bayesian deep learning

Engineering

• Computational Cost 100%
• Deep Learning 100%
• Engineering 50%
• Nonlinearity 50%
• Computational Fluid Dynamics 50%
• Gaussians 50%
• Deep Neural Network 50%
• Dimensional Problem 50%
• Random Process 50%

Chemical Engineering

• Deep Learning 100%
• Neural Network 50%
• Deep Neural Network 50%

Material Science

• Computational Fluid Dynamics 100%