Materials Development for Flow Batteries with Help of Explainable AI (FlowXAI)

Main funder

Funder's project number348328

Funds granted by main funder (€)

  • 336 640,00

Funding program

Project timetable

Project start date01/01/2022

Project end date31/12/2024


The electrical energy storage is the key problem to be solved to realize green transition in electricity generation. Redox flow batteries (RFBs) offer promise for large scale energy storage, but current technology requires critical materials like vanadium and therefore remain too expensive . Instead, affordable RFBs based on renewable or abundant raw materials are needed. The potential molecules need to fulfil several criteria, including a reasonable high energy density, stability, and production at an affordable cost, but no such molecules have been discovered yet. FlowXAI will develop procedures to screen a vast number of molecules, utilizing both computational chemistry and machine learning, complemented with targeted molecular synthesis and automated synthesis and testing of
flow battery chemicals.

Principal Investigator

Other persons related to this project (JYU)

Primary responsible unit

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Related publications and other outputs

Last updated on 2024-17-04 at 13:01