International Conference on Artificial Intelligence and Materials Science

• 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