Design and validation of refractory alloys using machine learning, CALPHAD, and experiments

Keyphrases

• Machine Learning 100%
• Ternary Alloys 100%
• Conditional Generative Adversarial Network (cGAN) 100%
• Refractory Alloys 100%
• Design Space 50%
• High Temperature 50%
• Network Model 50%
• Alloy Design 50%
• Structural Applications 50%
• High-order 50%
• Design Framework 50%
• Method Validation 50%
• Surrogate Model 50%
• Experimental Validation 50%
• Ternary System 50%
• Multicomponent Alloys 50%
• Interactive Design 50%
• Excellent Mechanical Properties 50%
• Solid Solution Strengthening 50%
• Arc Melting 50%
• Design Loop 50%
• Composition Space 50%
• Diagram Method 50%
• BCC Phase 50%
• Calculation Simulation 50%
• Computational Databases 50%
• Machine Learning Surrogates 50%
• Hardness Prediction 50%
• Nb-W Alloy 50%
• Scheil Simulation 50%

Material Science

• Ternary Alloy 100%
• Refractory Alloys 100%
• Solid Solutions 50%