Machine learning advances materials for separations, adsorption, and catalysis

An artificial intelligence technique — machine learning — is helping accelerate the development of highly tunable materials known as metal-organic frameworks (MOFs) that have important applications in chemical separations, adsorption, catalysis, and sensing.


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Source: ScienceDaily