Machine learning approaches for electrocatalyst design in water splitting: a review for green hydrogen production
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The production of green hydrogen through water splitting requires highly efficient electrocatalysts, but the current trial-and-error-based synthesis or discovery is time-consuming, costly and resource-intensive. Machine learning (ML) provides a powerful, data-... ...
