SOURCE-LINKED INTELLIGENCE

DEVELOPMENT OF OPERANDO TECHNIQUES AND MULTISCALE MODELLING TO FACE THE ZERO-EXCESS SOLID-STATE BATTERY CHALLENGE

CORDIS · observation · Publication date unknown

of well-defined model cells with a resolution down to the atomic scale. The new insights and collected multiparameter data will be incorporated into a novel multiscale modelling approach supported by machine learning algorithms. This will ultimately lead to a conceptual understanding of the in-situ anode formation and, based on this, innovative improvement approaches to enable this type of energy storage technology, which will be an important step towards increasing the global competitiveness, resilience and independence of the EU. Operando synchrotron techniques, Multiscale modelling, Machine learning, Zero-excess solid-state battery, Battery interface, Nucleation and growth kinetics, Electro-chemo-mechanical properties

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recordType

award

status

SIGNED

region

EU

value

4416396.75

unit

EUR