ExpertiseUpdated on 3 April 2025
Materials domain expertise for damage resistance and tolerance in steels and composites
Professor of Mechanical Engineering at The University of Sheffield
Sheffield, United Kingdom
About
Through our materials performance and optimisation research we have recognised the potential for development and application of foundation AI models in the materials science domain. We are experts in the performance of steels and composites, with a particular focus on railway applications, and damage modelling. For example, understanding the origin of fatigue cracking failures and developing materials resistant to this. We are seeking partners with the computing expertise in foundation AI models to develop a project for the call HORIZON-CL4-INDUSTRY-2025-01-DIGITAL-61: AI Foundation models in science.
Field
- Advanced Materials
- Testing & Analysis
- Steel
Similar opportunities
Project cooperation
HORIZON-CL4-INDUSTRY-2025-01-DIGITAL-61: AI Foundation models in science
- Early
- Steel
- Planning
- Advanced Materials
- AI-GenAI /Data/Robotics
- Consortium seeks Partner
David Fletcher
Professor of Mechanical Engineering at The University of Sheffield
Sheffield, United Kingdom
Expertise
One-stop-shop for composite materials
- Hydrogen
- Construction
- Manufacturing
- Sustainability
- Energy Efficiency
- Advanced Materials
- Testing & Analysis
- AI-GenAI /Data/Robotics
- Modelling, simulation, predictive technologies
Nora Feiden
EU Research Officer at Leibniz-Institut fuer Verbundwerkstoffe
Kaiserslautern, Germany
Project cooperation
- Hydrogen
- Manufacturing
- Advanced Materials
Georgios Zaverdinos
DELTA-MPIS
Athens, Greece