Open data and industry driven environment for multiphase and multiscale Materials Characterization and Modelling combining physics and data-based approaches

Project Information

MatCHMaker

Grant agreement ID: 101091687

DOI

10.3030/101091687

EC signature date 18 November 2022

Start date 1 December 2022

End date 31 May 2026

Funded under

• Digital, Industry and Space

Total cost

€ 4 700 233,50

EU contribution

€ 4 700 233,50

Coordinated by

COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES
France

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Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Documents, reports (1)

Report on dissemination, communication and training activities

The report will make a summary on the knowledge transfer among MatCHMaker Consortium partners (internal training) and between MatCHMaker and external stakeholders (external training) (e.g., SMEs, universities, technology centres, etc).It will also list the publications and the participation to events for Dissemination and communication of the project resultsDue date of the first version of the deliverable : M21Due date for the finalised and updated version of the deliverable : M42

Websites, patent fillings, videos etc. (1)

Dissemination and Communication Strategy and Plan

The plan will elaborate on what (project results), with which goal, to whom (target audiences), how ( channels) and when. It will include a list of expected publications per partner and targeted events. It will also include the design of a project identity with project website and supporting dissemination and communication materials

Demonstrators, pilots, prototypes (1)

MatCHMaker Open Repository

- The data collected and generated and the results achieved will serve as base for the generation of a digital tool, hosting all the relevant knowledge to provide decision making support for users. It will build a mechanism store and to expose metadata, data, information, and knowledge for all the components of the system. It mainly will consist of: i) A secured data store, where metadata and data will be registered; ii) A physical representation of the links and dependencies between ontology data; iii) A search engine able to retrieve data based on complex queries on ontologies or based on examples.- Development of main functionalities like extraction of knowledge and data management, data visualization (handling the presentation and interaction with the user), smart search, trace data origin / provenance, data postprocessing. Due date of the first version of the deliverable : M30Due date for the finalised and updated version of the deliverable : M42

Publications

Thesis and dissertations (1)

Early-age mechanics of cement pastes made from composite binders with OPC, limestone, and calcined clay: shrinkage, elastic stiffness, creep, and strength

Author(s): Sophie Schmid
Published in: 2025
Publisher: TU Wien
DOI: 10.34726/HSS.2025.132040

Conference proceedings (1)

Image Processing and Analysis of Materials Microstructures with Machine Learning

Author(s): A Ouzia,M. Ben Aha,A. Gregores Coto, C. Precker, G. Daniel
Published in: 2024 SIAM Conference on Materials Science, 2024
Publisher: SIAM

Peer reviewed articles (1)

Hourly three-minute creep testing of an LC3 paste at early ages: Advanced test evaluation and the effects of the pozzolanic reaction on shrinkage, elastic stiffness, and creep

Author(s): Sophie J. Schmid, Luis Zelaya-Lainez, Olaf Lahayne, Martin Peyerl, Bernhard Pichler
Published in: Cement and Concrete Research, Issue 187, 2024, ISSN 0008-8846
Publisher: Elsevier BV
DOI: 10.1016/J.CEMCONRES.2024.107705

Other (1)

D6.1 Dissemination and Communication Strategy and Plan

Author(s): Dong, Xiran; Adamovic, Nadja; JASON, Ludovic
Published in: 2024
DOI: 10.5281/ZENODO.15462560