Sequential design of adsorption simulations in metal–organic frameworks

An active learning protocol is introduced to sequentially build surrogate models for predicting gas adsorption. The method is shown to work for methane and carbon dioxide adsorption in Cu–BTC MOF for isotherms and pressure–temperature phase space.