SOURCE-LINKED INTELLIGENCE

Perovskite Efficient Advanced Catalysts for Energy - Zinc Air Batteries

CORDIS · observation · Publication date unknown

r cell potentials (up to 2.55 V) and increasing the energy density while reducing long-term degradation. The PEACE-ZAB project aims to accelerate the discovery of lanthanum-based HEPOs for ZABs using machine learning (ML) on high-throughput experimental data. The project will (i) explore HEPO compositional spaces with reduced critical raw material content, (ii) elucidate the relationships between composition, structure, and electrochemical performance (OER/ORR activity and stability in acidic/alkaline electrolytes) through ML-assisted analysis, and (iii) transfer the most promising candidates to industrial production with startup Nano4Energy. The project will deepen the candidate’s expertise in electrochemical devices and machine learning - both key enabling technologies for Horizon Europe program - while leveraging his background in high-throughput experimentation for energy materials. The project will also re-enforcing the candidate’s transferrable skills and technology transfer competence as part of the EIC Innoenergy community and the clean energy R&D&I sector. Zinc-air batteries

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recordType

award

status

SIGNED

region

EU

value

194074.56

unit

EUR