PartnershipUpdated on 3 March 2025
Partnership for HORIZON-CL5-2025-02-D2-02 Cost-effective next-generation batteries for long-duration stationary storage
About
Within the call HORIZON-CL5-2025-02-D2-02 Cost-effective next-generation batteries for long-duration stationary storage, we aim to develop Machine Learning approaches (e.g., Deep Learning, Neural Networks) to: predict redox potential in ORFB, develop unit cell models and also modelling data-driven battery systems.
Looking for
- New and Emerging Technologies
- Raw Materials and processing
- Cell Design and Manufacturing
Organisation
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