SOURCE-LINKED INTELLIGENCE

OPerando analyses and modelling of INterface dynamics and CHARGE transport in lithium-ion batteries

CORDIS · observation · Publication date unknown

sequently, main techniques to be addressed operando will be: X-ray scattering, enhanced Raman, STEM-EELS & EDX, FIB-SIMS, Neutron imaging, OEMS and NMR. Parallelly, the consortium will integrate AI/Machine Learning support, in order to improve data acquisition and analysis, making the data crunching processes more efficient and meaningful. Likewise, data treatment and sharing are cornerstones of the project, as Open Science practices and scientific collaboration with the community are recognized by the consortium as key aspects of the BIG-MAP objectives of the Batteries partnership and 2030+ programmes. With a 36 month duration, the project is divided in 7 work packages distributed among the partners according to their expertise, with LIST as leader of the consortium. Dissemination, exploitation and communication activities will allow to maximize the impact of the results and the outreach of these, by actively promoting the diffusion of the information derived from the activities of the project. Batteries, Interface, Interphase, Lithium-Ion, Transport, Charge, Modelling, Operando

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recordType

award

status

SIGNED

region

EU

value

4996340

unit

EUR