Efficient Surrogate Models for Materials Science Simulations: Machine Learning-based Prediction of Microstructure Properties.
Binh Duong NguyenPavlo PotapenkoAytekin DermiciKishan GovindStefan SandfeldPublished in: CoRR (2023)
Keyphrases
- machine learning
- materials science
- artificial intelligence
- prediction accuracy
- decision trees
- machine learning algorithms
- natural language processing
- data analysis
- computer science
- knowledge representation
- genetic algorithm
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- case study
- e learning
- learning systems
- recent advances
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- mechanical properties
- real world