Using the SUNCAT database, scientists at Stanford and the Department of Energy's SLAC National Accelerator Lab designed a low-iridium catalyst for driving oxygen-evolution reactions in fuel cells.
In the paper, the researchers introduce a machine learning framework that deals with the challenges of experimental data and provides robust predictions of catalyst performance. Additionally, they ...
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