Predict the evolution of mechanical property of Al-Li alloys in a marine environment

Engineering

• Long Short-Term Memory 100%
• Convolutional Neural Network 66%
• Mechanical Response 66%
• Field Image 33%
• Tensiles 33%
• Output Data 33%
• Digital Image Correlation 33%
• Backpropagation 33%
• Strain Field 33%
• Test Time 33%
• Elastic Model 33%
• Autoencoder 33%
• Input Data 33%
• Main Conclusion 33%
• Microstructure Evolution 33%
• Tensile Deformation 33%
• Alloy Sample 33%
• Exposure Time 33%
• Tensile Yield Stress 33%

Material Science

• Aluminum-Lithium Alloys 100%
• Corrosion 75%
• Yield Stress 25%