On the hunt for the next generation flow battery composition
CompBat aims to take flow batteries to the next level, identifying new prospective molecules for their chemical composition. Tools will be developed to this end, using machine learning paired with a high-throughput screening method to enable large-scale automated testing. Targeted molecules are bio-inspired organic compounds, as well as derivatives of a specialty bulk-manufactured chemical. Sophisticated calculations will be deployed to obtain data on molecules and their properties. Based on the results, The EU-funded CompBat project will perform modelling of flow battery systems to allow for predictions on performance, and a cost estimation approach will be applied. Furthermore, the team will examine the possibility of using solid boosters to enhance battery capacity.
Field of science
- /natural sciences/chemical sciences/organic chemistry
- /natural sciences/computer and information sciences/artificial intelligence/machine learning
Call for proposal
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