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New data-driven model rapidly predicts dehydrogenation barriers in solid-state materials

Researchers have developed a groundbreaking data-driven model to predict the dehydrogenation barriers of magnesium hydride, a promising material for solid-state hydrogen storage. This advancement holds significant potential for enhancing hydrogen storage technologies, a crucial component in the transition to sustainable energy solutions.

New Data-Driven Model Rapidly Predicts Dehydrogenation Barriers in Solid-State Materials

New Data-Driven Model Rapidly Predicts Dehydrogenation Barriers in Solid-State Materials
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New Model Quickly Forecasts Dehydrogenation in Materials

New Model Quickly Forecasts Dehydrogenation in Materials
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Data-driven model rapidly predicts dehydrogenation barriers in solid-state materials

Data-driven model rapidly predicts dehydrogenation barriers in solid-state materials
phys.org - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from phys.org Daily Mail and Mail on Sunday newspapers.

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