Representations and algorithms for materials design for “single-modality” use.
Representative areas of research:
- uncertainty-aware predictions and uncertainty-propagation methods;
- representation design in materials science;
- learning of heterogeneous and complex data beyond single-valued functions.
Leader: Silvia Bonfanti
Silvia Bonfanti is Assistant Professor in Physics, specialized in materials complexity, spanning fields such as glasses, mechanical metamaterials and biophysics.
She is affiliated with the University of Milan and the Nomaten Center of Excellence in Poland, where she is also interested in high-entropy alloys. Her work includes modelling and development of new algorithms to push the boundaries of materials science.