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Reaction mechanism reduction in hydrocarbon networks is a persistent challenge due to the complexity involved. We have shown that this complexity can be treated with a small number of DFT calculations and predictive machine-learning techniques.

Read more here: http://www.nature.com/articles/ncomms14621