Inverse design of metal–organic frameworks for direct air capture of CO 2 via deep reinforcement learning

A reinforcement learning framework enables the design and discovery of novel metal–organic frameworks (MOFs) for direct air capture of CO 2 (DAC) in terms of CO 2 heat of adsorption and CO 2 /H 2 O selectivity.