Denoising diffusion probabilistic models for generative alloy design

Computer Science

• Design Framework 100%
• Additive Manufacturing 100%
• Machine Learning 100%
• Learning System 100%
• Denoising Diffusion Probabilistic Models 100%
• High Throughput 50%
• Optimization Task 50%
• Quantitative Approach 50%
• Computational Approach 50%
• Training Data 50%
• Case Study 50%
• Synthetic Data 50%
• Learning Community 50%

Material Science

• Probabilistic Model 100%
• Phase Composition 100%
• Feedstock 66%
• Three Dimensional Printing 33%
• Wire Arc Additive Manufacturing 33%
• Superalloys 33%
• High Entropy Alloys 33%
• Materials Design 33%

Engineering

• Phase Composition 100%
• Additive Manufacturing 66%
• Learning System 66%
• Uncertainty Quantification 33%
• High-Entropy Alloys 33%
• Property Relationship 33%
• Forward Model 33%
• Inverse Design 33%
• Quantitative Approach 33%