Development of a custom supervised learning network to determine the recession rate of ablative thermal protection systems materials

Engineering

• Macroscale 100%
• Thermal protection systems 100%
• Length Scale 50%
• Material Response 50%
• Microscale 50%
• Material Microstructure 50%
• Response Code 50%
• Phenolics 50%
• Carbon Composite 50%
• Analytical Function 50%
• Material Flow 50%
• Porosity 50%
• Support Vector Machine 50%
• Hypersonic Vehicle 50%

Material Science

• Surface (Surface Science) 100%
• Carbon Carbon Composites 25%
• Carbon Fiber 25%
• Ablative Material 25%
• Physical Change 25%

Chemical Engineering

• Supervised Learning 100%
• Neural Network 12%
• Carbon Fiber 12%
• Support Vector Machine 12%