Physics‐constrained artificial intelligence for accelerating experimental discovery of MOFs in gas separation
Metal–organic frameworks (MOFs) hold great potential for low‐energy gas separation, but the enormous chemical space of MOFs poses a major screening challenge. Existing artificial intelligence (AI) methods suffer from high data demand and poor extrapolation capability. To address this, we develop a physics‐constrain...