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Published January 7, 2025 | Version v1
Report Open

Advances in Characterisation Methods and Computational Modelling

  • 1. Commissariat à l'Énergie Atomique et aux Énergies Alternatives, France
  • 2. Heidelberg Materials AG, Global R&D, Germany
  • 3. Fraunhofer Institute for Ceramic Technologies and Systems IKTS, Germany
  • 4. ePotentia, Belgium
  • 5. Teknologian tutkimuskeskus VTT Oy, Finland
  • 6. Technische Universiteit Delft, The Netherlands
  • 7. Università degli Studi Roma Tre, Italy
  • 8. Università di Modena e Reggio Emilia, Italy
  • 9. EMMC ASBL - European Materials Modelling Council, Belgium

Description

MatCHMaker was awarded a grant under the call HORIZON-CL4-2022-RESILIENCE-01-19 - Advanced materials modelling and characterisation (RIA) as the future of European industrial manufacturing requires further advances in characterisation methods and computational modelling. This will lead the way to the reliable design of new and sustainable materials and processes, rapid upscaling, and effective quality control. These advances can only be achieved through the development of innovative techniques and a new generation of instrumentation, responding to industrial needs. MatCHMaker and its sister projects AddMorePower, AID4GREEENEST, CoBRAIN, and D-STANDART introduce their approach to this topic.

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MatchMaker_EMMC_paper_Jan25.pdf

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Additional details

Funding

MatCHMaker – Open data and industry driven environment for multiphase and multiscale Materials Characterization and Modelling combining physics and data-based approaches 101091687
European Commission
AddMorePower – Advanced modelling and characterization for power semiconductor materials and technologies 101091621
European Commission
AID4GREENEST – AI powereD characterization and modelling for GREEn STeel technology 101091912
European Commission
CoBRAIN – Integrated Computational-Experimental material Engineering of Thermal Spray coatings 101092211
European Commission
D-STANDART – DURABILITY MODELLING OF COMPOSITE STRUCTURES WITH ARBITRARY LAY-UP USING STANDARDIZED TESTING AND ARTIFICIAL INTELLIGENCE 101091409
European Commission