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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- Intelligence and Information
- New and Emerging Technologies
Emre Aslakci
CEO | Founder at MEATEC
Stuttgart, Germany
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Searching partners for proposal
- Battery Testing and Safety
Raúl URBANO ESCOBAR
EU project manager at CTAG - Automotive Technology Center of Galicia
Vigo/Ourense, Spain
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HORIZON-CL5-2025-01-Two-Stage-D2-02: Looking for Innovative RFB Technologies
- New and Emerging Technologies
- Stationary Applications and Integration
João Paulo Sousa
Business Developer at Vasco da Gama CoLAB - Energy Storage
Porto, Portugal