Machine learning assisted high-throughput computational screening of MOFs for the capture of chemical warfare agents from the air

•Structure-property relationships of MOFs were established with the capture of CWAs.•The number of hydrogen bond acceptors was a key factor governing the co-adsorption of CWAs by machine learning.•The similarities of top-performing MOFs were defined for the metals, organic links and topology.