SISTER PROJECTS
AddMorePower
AddMorePower‘s mission is to overcome the limitations currently present in the power GaN, SiC, and related Cu metallisation technologies, increase EU shares in power semiconductor production and enabling a more resilient European power electronics industry that will provide a solution to the emerging area of wide bandgap power semiconductors. In particular, AddMorePower aims to advance X-ray and electronprobe related characterisation techniques as well as modelling approaches for new wide bandgap power semiconductor materials and 3D integrated power technologies. Having the biggest European power semiconductor company being part of the consortium, the use-cases Power GaN and Power Cu as demonstrators for novel X-ray and electron-probebased characterisation will provide the clearest pathway to impact, targeting a resilient and sustainable value chain for EU industrial ecosystems in support of the twin green and digital transformations. The AddMorePower consortium consists of ten highly qualified partners from five countries (Germany, Austria, France, Czech Republic and Belgium).
AID4GREENEST
The main objective of AID4GREENEST is to develop six new AI-based rapid characterisation methods and modelling tools. AID4GREENEST tools’ scope will cover steel design (chemistry and microstructure), process design (processing parameters), product design (processing and heat treatments), and product performance (creep) stages. The proposed tools will be complemented with a roadmap designed to enable model-based innovation processes, from materials design to product development, while considering industry needs: enhanced material quality, reduced carbon emissions and waste generation, and reduced supply risk of critical raw materials. The European Horizon funded project, AID4GREENEST consists of a multidisciplinary team of 10 partners from 4 European countries (Spain, Belgium, Finland, Germany) with extensive experience in AI/ML tools development and implementation and in activities related to the steel industry, such as production, materials properties characterisation and modelling.
D-STANDART
The D-STANDART objective is to develop fast and efficient methods to model the durability of large-scale composite structures with arbitrary lay-ups under realistic conditions (loads, environment), making use of Artificial Intelligence (AI) surrogate models. Advanced composites play a crucial role in efforts to achieve a carbon-neutral future. They enable lightweight and therefore energy-efficient structures in high-performance industries like aerospace and wind energy. The increasing use of large composite structures and the drive to minimise weight also raises the question of their damage tolerance and durability, which, despite the progress in computational capabilities, is still assessed using imprecise and time-consuming techniques. Accurate and reliable fatigue and durability assessment is therefore necessary to ensure the long-term integrity of these light-weight structures that are needed for a climate-neutral and sustainable future. Hence the D-STANDART objective. Two use cases have been selected to validate the new fatigue and durability assessment approach. They reflect typical structural components found in the aerospace and renewable energy sectors. Furthermore, circularity and sustainability will be assessed via dedicated life-cycle assessment, life-cycle costing, and cost-benefit analysis. D-STANDART involves nine partners from four countries.
KNOWSKITE-X
KNOWSKITE-X aims to revolutionise energy storage with its innovative approach to developing electrode materials for reversible chemical-to-power cells. By harnessing intermittent renewable energy sources and storing surplus energy as carbon-free chemical fuel, KNOWSKITE-X contributes to the integration of sustainable energy into the electrical grid. Focusing on mixed oxides with perovskite structures, the project minimises critical content while maximising performance and economic viability. Leveraging cutting-edge technologies such as Artificial Intelligence (AI), KNOWSKITE-X combines advanced materials preparation, innovative characterisation methods, multi-scale modelling, and AI-enabled tools to accelerate the discovery of optimised electrode materials for energy applications. This project is funded under Horizon Europe and brings together 11 partners from 7 European countries.
MatCHMaker
MatCHMaker is 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. 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. The ambition of MatCHMaker is to validate project results on three Use Cases: Construction (cement), Energy (SOFC/SOEC) and Mobility (PEMFC). Coordinated by the French Alternative Energies and Atomic Energy Commission (CEA), the project involves 10 partners from 8 European countries.
