Use of genetic algorithm helping to find the best carbon dioxide sponge

(Phys.org)—A team of researchers with the University of Ottawa has found that an algorithm used in genetic research has proven to be useful in helping to narrow down the number of possible carbon dioxide sponges, aka, metallic-organic frameworks(MOFs) for possible use in industrial applications. In their paper published in the journal Science Advances, the team describes how they used the algorithm, what it helped them find and what still needs to be done to figure out if the MOFs they isolated might actually be used some day to capture carbon dioxide from coal burning plants before it is emitted into the atmosphere.

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