Crack Surface Analysis of Elastomers Using Transfer Learning

Keyphrases

• Surface Analysis 100%
• Elastomer 100%
• Transfer Learning 100%
• Crack Surface 100%
• Training Model 66%
• Surface Features 66%
• Convolutional Neural Network 66%
• Materials Science 33%
• Characterization Techniques 33%
• Predictive Models 33%
• Surface Material 33%
• Material Properties 33%
• Structure-property Relationships 33%
• Model Complex 33%
• Energy Materials 33%
• Energy Dissipation 33%
• Temperature Effect 33%
• Machine Learning Techniques 33%
• Spectral Density 33%
• Image-based 33%
• Training Data 33%
• Fracture Process 33%
• Regression Model 33%
• Transfer Learning Model 33%
• Principal Coordinate Analysis (PCoA) 33%
• Silicone Rubber 33%
• Supervised Learning 33%
• Amount of Training 33%
• Property Mapping 33%
• Cracking Behavior 33%
• Material Stiffness 33%
• Crack Speed 33%
• Feature Dimension 33%
• Property Estimation 33%
• Microstructural Images 33%
• Function Reconstruction 33%
• Convolutional Layer 33%
• Artificial Microstructure 33%

Engineering

• Crack Surface 100%
• Transfer Learning 100%
• Elastomer 100%
• Surface Feature 50%
• Convolutional Neural Network 50%
• Energy Dissipation 25%
• Surface Material 25%
• Component Analysis 25%
• Crack Speed 25%
• Material Stiffness 25%
• Convolutional Layer 25%
• Machine Learning Technique 25%
• Principal Components 25%
• Reconstruction Function 25%

Material Science

• Surface Crack 100%
• Surface Analysis 100%
• Elastomer 100%
• Polysiloxane 50%
• Materials Property 50%
• Surface (Surface Science) 50%
• Density 50%