Artificial intelligence for materials science
Application of classification/regression techniques
Application of physics-based constraints
Selection and importance of features/descriptors
Comparison metrics of artificial intelligence techniques
Challenges applying artificial intelligence to materials
Dataset and tools for employing artificial intelligence
Integrating experiments with artificial intelligence techniques
Using artificial intelligence to develop classical force-fields
Machine learning in materials science
Materials discovery and design using machine learning
Machine learning methods in materials science
Machine learning in materials informatics
Data mining and machine learning approaches on engineering materials
Theory-guided machine learning in materials science
Machine learning and data science in soft materials engineering
The application of machine learning in material property prediction
The application of machine learning in new materials discovery
The application of machine learning for various other purposes
Analysis of and countermeasures for common problems
Machine learning for finding energy materials
Computational materials science
