A key element of the AID4GREENEST project is the collaboration with our EU sister projects. We are committed to establishing collaborations with our sister and partner HORIZON Europe projects such as AddMorePower, CoBRAIN, D-STANDART, DiMAT, Knowskite-X and MatCHMaker.
In the context of EU-funded projects, a “sister project” refers to a complementary initiative that is financed under the same or a related EU funding program. AID4GREENEST shares similar objectives and target groups with our sister projects, which are designed to mutually enrich each other by exchanging insights, methodologies and results to enhance their impact within the European Union.
Sister projects collaborate to leverage synergies, avoid duplication of efforts, and maximise the efficient use of resources towards achieving their common goals.
For more information about these exciting projects you can visit their websites by following the links below.
AID4GREENEST European Sister and Partner Projects
Advanced modelling and characterization for power semiconductor materials and technologies
A collaborative initiative focused on advancing wide bandgap semiconductors for Europe’s power electronics industry.
Key objectives include overcoming limitations in GaN, SiC, and Cu technologies, increasing EU shares in power semiconductor production, and fostering resilience.
The consortium, comprising ten partners from five countries (Germany, Austria, France, Czech Republic, and Belgium), aims to create a sustainable value chain in support of the green and digital transformations.
Real-world demonstrations using Power GaN and Power Cu guide the path toward impact.
Integrated Computational / Experimental Material Engineering of Thermal Spray Coatings
The project aims to pioneer wear and corrosion-resistant coatings through thermal spraying.
By combining experimental and computational datasets, the partners will empower Deep Learning algorithms to guide decision-making in industrial component development.
The Sustainable Decision Support System proposes novel materials alternatives, including High Entropy Hard metals, for 3 Thermal Spraying techniques.
A groundbreaking approach to understanding corrosion mechanisms in Thermal Spray.
Holistic Digital Transformation of the SMEs Manufacturing Industry
The project consists of three solutions called DiMAT suites: The DiMAT Data and Assessment Suite (DiDAS) revolutionizes material science through semantic technologies.
It centralizes material data, enhances safety, and promotes sustainability. Meanwhile, the DiMAT Modelling and Design Suite (DiMDS) empowers material design, reduces errors, and boosts productivity.
Lastly, the DiMAT Simulation and Optimization Suite (DiSOS) sharpens material performance, streamlines manufacturing, and predicts behaviour.
Durability Modelling of Composite Structures
Its mission aims to revolutionise the modelling of large-scale composite structures, leveraging Artificial Intelligence (AI) surrogate models.
These advanced composites—essential for achieving carbon neutrality—usher in lightweight, energy-efficient designs across aerospace and wind energy sectors.
The main objectives are pioneering precise methods for modeling composite durability, weight optimization, and long-term integrity.
Aerospace and renewable energy components will serve as the proving ground. Their fatigue and durability assessments validate the novel approach.
Knowledge-driven fine-tuning of perovskitebased electrode materials for reversible Chemicals-to-Power devices
Centered on energy storage with an innovative approach to develop electrode materials for reversible chemical-to-power cells.
By harnessing intermittent renewable energy sources and storing surplus energy as carbon-free chemical fuel, the project contributes to the integration of sustainable energy into the electrical grid.
Focusing on mixed oxides with perovskite structures, minimising critical content while maximising performance and economic viability.
Leveraging cutting-edge technologies such as AI, and combining advanced materials preparation, innovative characterisation methods, multi-scale modelling, and AI-enabled tools to discover optimised electrode materials for energy applications.
Advancing Materials Characterisation and Modelling – Matching the Needs of the EU Manufacturing Industry
A Horizon Europe project funded by the European Union supporting excellence in research on methods and tools for advanced materials development towards a low-carbon and clean industry.
The project aims to reduce the time, cost and risks of developing and optimising advanced materials. Contributing to the European Green Deal to decarbonise industry while enhancing people’s quality of life.
The ambition of MatCHMaker is to validate project results in three Use Cases: Construction (cement), Energy (SOFC/SOEC) and Mobility (PEMFC).
