Deep material network

Network-based machine-learning model with physics-based building blocks and interpretable fitting parameters.

Micromechanics theories

Analityical and semi-analytical models for fast predictions of material properties

Self-consistent clustering analysis

Model reduction by grouping material points with similar responses.

Transfer learning and database integration

Learn to learn and explore the possibilities of database interpolation and extrapolation.