Bayesian Optimization for Materials Design with Mixed Quantitative and Qualitative Variables

Keyphrases

• Material Design 100%
• Quantitative Variable 100%
• Qualitative Variables 100%
• Bayesian Optimization 100%
• Qualitative Factors 42%
• Gaussian Process Model 28%
• Mixed Variables 28%
• Design Example 28%
• Optimization Framework 14%
• Material System 14%
• Latent Variables 14%
• Material Composition 14%
• Complex Correlation 14%
• Quasi-random 14%
• Material Microstructure 14%
• Solar Cell 14%
• Quantitative Design 14%
• Microstructure Morphology 14%
• Processing Conditions 14%
• Computational Materials Engineering 14%
• Optimization Approach 14%
• Modeling Accuracy 14%
• Light Absorption 14%
• Physics-based Simulation 14%
• Variable Design 14%
• Numerical Examples 14%
• Numerical Variables 14%
• Surrogate Model 14%
• Latent Variable Approach 14%
• Gaussian Process 14%
• Dummy Variable 14%
• Design Optimization Problem 14%
• Intuitive Visualization 14%
• Microstructure Optimization 14%
• Combinatorial Search 14%
• Hybrid Organic-inorganic Perovskites 14%
• Material Selection Optimization 14%
• Mixed-variable Problems 14%

Engineering

• Gaussians 100%
• Numerical Example 33%
• Optimisation Problem 33%
• Optimization Approach 33%
• Material System 33%
• Material Composition 33%
• Processing Condition 33%
• Light Absorption 33%
• Surrogate Model 33%
• Engineering 33%
• Design Optimization 33%
• Solar Cell 33%

Material Science

• Materials Design 100%
• Material Selection 16%
• Solar Cell 16%
• Materials Engineering 16%