Description du projet
Des techniques analytiques améliorées pourraient lever le voile sur les phénomènes de transport de charge dans les batteries au niveau nanométrique
L’innovation en matière de batteries est essentielle pour l’évolution des nouvelles technologies de production d’énergie et de transport. Toutefois, les progrès réalisés dans ce domaine sont actuellement entravés par un manque de compréhension des processus au niveau atomique qui se produisent dans les interfaces et les interphases des batteries. Le projet OPINCHARGE, financé par l’UE, vise à développer un ensemble de techniques nanoanalytiques operando pour comprendre ces processus avec un niveau de détail inégalé. Le consortium, composé de dix organisations de sept pays, sera à l’avant-garde de différentes techniques chimiques et physiques. Les chercheurs intégreront également l’IA/l’apprentissage automatique pour améliorer l’acquisition et l’analyse des données. L’accent sera mis sur le partage des données, un aspect essentiel de la Battery Interface Genome – Materials Acceleration Platform (BIG-MAP).
Objectif
Battery innovation has played a major role in the development of new energy production & transport technologies, becoming true enablers of a clean, affordable and secure energy economy. However, innovation is currently being hindered by the lack of understanding of the processes happening at atomic levels in the batteries' interfaces and interphases. Thus, the OPINCHARGE consortium aims to develop a set of effective operando nanoanalytical techniques and methodologies to understand the interfacial processes in batteries in unprecedented level of detail.
For this, 10 organizations from 7 different countries will work together, combining their expertise and infrastructure, to find new ways of addressing this challenge. This will be fostered through 3 main pillars of technique innovation: chemical-based, isotope-based, and physics-based. Consequently, 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.
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HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinateur
4362 Esch Sur Alzette
Luxembourg