A team of researchers led by the University of Michigan in the US is developing a generative AI model to produce new molecules for batteries, writes Nick Flaherty. The machine learning framework will be developed using 200,000 node hours on the Polaris, a 34-petaflop supercomputer at Argonne National Laboratory. Read more…
ChatGPT for battery chemicals
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