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ExpertiseUpdated on 3 April 2025

Materials domain expertise for damage resistance and tolerance in steels and composites

David Fletcher

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

    Advanced Materials Simulation

    • Hydrogen
    • Manufacturing
    • Advanced Materials

    Georgios Zaverdinos

    DELTA-MPIS

    Athens, Greece