Services
EMMC Services
EMMC offers specialised services to support national, bilateral, multilateral, and EU projects, ensuring efficient collaboration, knowledge dissemination, and harmonised data documentation across materials R&D.
Facilitation
We facilitate collaboration and coordination among key stakeholders in materials modeling to maximize synergies and ensure the effective integration of innovations.
Clustering of relevant stakeholders
Enhancing interaction and synergies
Inter-project coordination support
Aligning outputs with policies
Formation (Orchestration) of Task Groups
We establish and lead task groups to address challenges in materials modeling and characterization, ensuring structured problem-solving and impactful outcomes.
Sourcing relevant experts
Defining key objectives
Identifying major obstacles
Monitoring and documenting progress
Dissemination
We ensure the effective dissemination of project outcomes through the most suitable channels, making sure they reach the right audience.
Selecting dissemination channels
Creating reports and content
Co-authoring project deliverables
Co-authoring strategic roadmaps
Guidance for data documentation
We provide guidance and support services for the use of MODA and CHADA as well as EMMO-based ontologies with the goal of establishing harmonised data documentation in materials R&D.
Implementation of MODA and CHADA according to CEN Workshop Agreements
Supporting vocabulary and taxonomy development, adhering to EMMO standards
Promoting interoperability efforts
Providing training and guidance
Service Clients
Below you can find examples of current and past service provision.
Start: 01.12.2022End: 31.05.2026MatCHMaker
Open data and industry driven environment for multiphase and multiscale Materials Characterization and Modelling combining physics and data-based approaches
Description of project
MatCHMaker is a Horizon Europe project supporting excellence in research on methods and tools for advanced materials development towards a low-carbon and clean industry with new and sustainable materials.
MatCHMaker aims to reduce the time, cost and risks of developing and optimising advanced materials. This contributes to the European Green Deal to decarbonise the industry while enhancing people’s quality of life.
Advanced materials modelling and characterisation are crucial to designing and upscaling new materials which are more resilient. Additionally, they help to identify new applications for existing materials.
EMMC Service
For MatCHMaker, we provide a clustering service that comprises its sister projects.
A first workshop highlighted the common goals these projects have with regards to Advances in Characterisation Methods and Computational Modelling. (workshop report)
In a second workshop – Data Life Cycles in the World of Materials Modelling and Characterisation – we are elucidating the common goals with respect to the data life cycle.
Start: 01.01.2024End: 31.12.2027MaMMoS
MAgnetic Multiscale MOdelling Suite
Description of project
Magnetic materials are essential for many applications in energy, information, and communication technologies. However, the complex phenomena at different length and time scales often limit the development of new magnetic materials and devices.
The goal of this project is to develop a magnetic multiscale modeling suite that will allow the design and optimisation of magnetic materials and devices based on multiscale modelling, characterisation, and numerical optimisation. To achieve interoperability between software and analysis tools, we will establish a domain ontology for magnetic materials.
EMMC Service
For MaMMoS, we provide clustering services that comprise EU projects working on magnetism.
A first workshop – International Workshop – Data-driven Magnetic Materials Design and Optimization – will take place in Vienna.
Start: 01.01.2024End: 31.12.2026DigiCell
Battery Material Characterisation and Digital Twins for Cell to Pack Performance in Agile Manufacturing Pilot Lines and Automotive Field
Description of project
The DigiCell project aims to revolutionise the battery value chain by transforming the manufacturing and testing processes of battery cells and packs. Using advanced modelling and machine learning techniques, DigiCell seeks to make these processes more efficient, reliable, and sustainable.
The project applies AI-based models to simulate battery behaviour under various conditions and to correlate battery performance with material properties. This approach allows for real-time simulations and information exchange with actual production lines, significantly reducing material waste and enhancing battery life-cycle performance.
Ultimately, DigiCell’s innovations will contribute to a greener future by supporting the transition to renewable energy sources and the electrification of transportation.
EMMC Service
For DigiCell, we facilitate collaborations with ontology experts of current EU projects to further the advancement of battery related ontologies.
Start: 01.11.2023End: 31.12.2024iENTRANCE@ENL
Infrastructure for Energy Transition and Circular Economy at EuroNanoLab
Description of project
The iENTRANCE@ENL project aims to become the first distributed, integrated, and fully interoperable Technological Research Infrastructure of European excellence in Italy devoted to Clean Energy Transition Research.
The project mission is to address the pressing global challenges represented by Clean Energy Transition, Sustainability, and Circular Economy, by providing the scientific community with access to micro- and nanotechnology services and expertise focused on new materials, processes, and systems specifically designed to mitigate the environmental impact of production, storage, distribution, and use of energy.
EMMC Service
For iENTRANCE, EMMC provided reports on the State of the Art of data documentation in relation to fields of interest of iENTRANCE, including materials production, processes, characterisation modelling as well as detailing of concepts/metadata relating to use cases, supporting the development of nano-fabrication-specific metadata structures.
