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Abstract Autonomous experimentation offers a time-efficient route towards accelerated catalyst discovery, but current practices often rely on black-box models that are difficult to interpret. Here we demonstrate the paradigm of interpretable autonomous exploration of a 12-dimensional space in the electrocatalytic hydrogen evolution reaction by integrating an interpretable decision-making artificial intelligence with a fully automated electrochemical platform.
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