Machine learning helps scientists identify promising metal-organic frameworks for capturing carbon dioxide from ambient air

Two new studies have demonstrated the potential of machine learning to accelerate the discovery of metal–organic frameworks (MOFs) that could be useful for capturing carbon dioxide from ambient air. In the first, researchers in the UK and South…

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