Final quiz (ind teaching)

Summarize main steps for machine learning model building for materials properties prediction

• Data acquisition

• Model validation

• Model selection and tuning

• Feature engineering and selection

• Removing correlated samples

Choose category for materials properties used in feature engineering:

• symmetry, interatomic distance

• Structural properties

• Thermodynamic

• Compositional

• Mechanical

Choose category for materials properties used in feature engineering:

• mean atomic radius, mean atomic mass

• Thermodynamic

• Compositinal

• Mechanical

• Structural

Choose category for materials properties used in feature engineering:

• hardness, bulk modulus

• Thermodynamic

• Compositinal

• Mechanical

• Structural

Choose category for materials properties used in feature engineering:

• melting temperature, total energy

• Thermodynamic

• Compositinal

• Mechanical

• Structural