Development of oxygen reduction catalysts is of key importance to a range of energy technologies; however, the process has long relied on slow trial-and-error approaches. Now, accelerated discovery of perovskite oxides for use as air electrodes in solid-oxide fuel cells is achieved with machine learning.
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Xin, H. Catalyst design with machine learning. Nat Energy 7, 790–791 (2022). https://doi.org/10.1038/s41560-022-01112-8
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DOI: https://doi.org/10.1038/s41560-022-01112-8
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