Multi-fidelity machine-learning with uncertainty quantification and Bayesian optimization for materials design: Application to ternary random alloys.
Anh TranJulien TranchidaTim WildeyAidan P. ThompsonPublished in: CoRR (2020)
Keyphrases
- machine learning
- optimal design
- design space exploration
- optimization problems
- engineering design
- global optimization
- application of machine learning methods
- design space
- decision theory
- active learning
- natural language processing
- text mining
- data mining
- machine learning methods
- learning materials
- computer science
- pattern recognition
- explanation based learning
- knowledge discovery
- computer vision
- learning algorithm
- optimum design
- user interface