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CORDIS - Forschungsergebnisse der EU
CORDIS

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

CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.

Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Leistungen

Report on dissemination, communication and training activities (öffnet in neuem Fenster)

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

Dissemination and Communication Strategy and Plan (öffnet in neuem Fenster)

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

MatCHMaker Open Repository (öffnet in neuem Fenster)

- 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

Veröffentlichungen

Image Processing and Analysis of Materials Microstructures with Machine Learning

Autoren: A Ouzia,M. Ben Aha,A. Gregores Coto, C. Precker, G. Daniel
Veröffentlicht in: 2024 SIAM Conference on Materials Science, 2024
Herausgeber: SIAM

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 (öffnet in neuem Fenster)

Autoren: Sophie J. Schmid, Luis Zelaya-Lainez, Olaf Lahayne, Martin Peyerl, Bernhard Pichler
Veröffentlicht in: Cement and Concrete Research, Ausgabe 187, 2024, ISSN 0008-8846
Herausgeber: Elsevier BV
DOI: 10.1016/J.CEMCONRES.2024.107705

D6.1 Dissemination and Communication Strategy and Plan (öffnet in neuem Fenster)

Autoren: Dong, Xiran; Adamovic, Nadja; JASON, Ludovic
Veröffentlicht in: 2024
DOI: 10.5281/ZENODO.15462560

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