Materials design by evolutionary optimization of functional groups in metal-organic frameworks.

A genetic algorithm that efficiently optimizes a desired physical or functional property in metal-organic frameworks (MOFs) by evolving the functional groups within the pores has been developed. The approach has been used to optimize the CO uptake capacity of 141 experimentally characterized MOFs under conditions relevant for postcombustion CO capture. A total search space of 1.