CORDIS Project
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PREDICTOR develops a rapid method for identifying and creating materials used in electrochemical energy storage. It combines computational screening, automated synthesis, and artificial intelligence to optimize material performance, specifically targeting applications in redox-flow batteries.
PREDICTOR aims to establish a rapid, high-throughput method to identify and develop materials for electrochemical energy storage.
This method will comprise:•A modelling and simulation tool for the computational screening of organic chemicals based on their potential performance in energy storage systems.•Automated chemical synthesis, electrolyte production and characterization methods, so that the chemicals identified in the screening step can be rapidly produced and tested for their suitability…
FRAUNHOFER GESELLSCHAFT ZUR FORDERUNG DER ANGEWANDTEN FORSCHUNG EV
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TECHNICAL UNIVERSITY OF DENMARK DTU
Denmark, Kongens Lyngby
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
Netherlands, Amsterdam
Type: SME
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: Yes
Finland, Turku
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
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