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    Weather forecasting technique speeds up electrocatalyst degradation predictions

    1 week ago

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    A NIMS research team has developed an approach capable of accurately and rapidly predicting the degradation behavior of electrocatalysts used in water electrolyzers by employing data assimilation—a method commonly employed in weather forecasting.
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