Narrowing down a million molecules for the optimal flow battery

Scientists in the United States turned to artificial intelligence to speed up their search for new materials for use in a flow battery. The group developed a machine learning algorithm that could search a dataset of potential materials and identify those with the ideal balance of different characteristics that make it suitable for use in a flow batteries. The group says its algorithm could be applied to other battery technologies, and even in other fields.Flow batteries based on vanadium, zinc-bromine and a few other materials are already proving their worth in energy infrastructure projects around ...

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