EUROMECH Colloquium: Data-driven Mechanics and Physics of Materials

We are organizing a EUROMECH colloquium on data-driven mechanics and physics of materials, to be held on May 21-23, 2025, in Gothenburg. Topics of interest include (but are not limited to):

- Traditional and physics-enhanced machine learning for surrogate modeling
- Learning and exploiting latent representations of materials behavior
- Image-based machine learning methods
- Data-driven process modeling of materials
- Generative learning for material optimization
- Micromechanics-based data-driven methods for designing materials
- Bayesian machine learning for uncertainty quantification, data assimilation, and inverse modeling
- Manifold learning for reduced-order modeling of material behavior
- Efficient data assimilation and active learning, among others

The conference website: https://656.euromech.org/