The field of computational materials science has been profoundly transformed by integrating deep learning and other machine learning methodologies. These sophisticated data-driven approaches have ...

A new AI model accurately predicts gas adsorption in metalorganic frameworks and explains its results, offering faster, clearer materials discovery.

Traditional experimental methods for evaluating gas adsorption performance of metal–organic frameworks (MOFs) are costly and time-consuming, while ...