Materials science explores relationships
between materials structure,
process, properties and application[1].
Thanks to artificial learning and reasoning
the AIMS alliance aims to identify,
qualify and understand the hidden relationships
in materials science projects,
predict and optimize new materials properties,
and drive materials manufacturing.
Référence [1] :
onlinelibrary.wiley.com/doi/full/10.1002/aisy.201900143
Materials Cognition
Project
Applying AI reasoning
and knowledge engineering
to materials science applications.
- Harnessing language processing and Image Processing tools for materials design.
- Use of knowledge representations to explore connectivity in multiscale experimental and modeling data.
Materials Robotics
Initiative
Robotics for autonomous
materials / chemical synthesis
and manufacturing
- Development of robust feedback control in response to real time sensor information.
- Development of new materials for enhancing sensors and robots
AIMS
Global Campus
A global learning environment
for integrating AI
and Materials Science
- Joint UB-uB graduate program in AI for Materials Science
- AI- Materials certificates
- MDI France fellows – student exchanges
- Faculty exchange program
- Joint workshops
- Educational modules / textbooks/ courses/ on-line courses