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A team of researchers has developed a machine learning method to improve simulations of metal-organic frameworks (MOFs), which have unique properties due to their complex structure. This method greatly accelerates the development and application of novel MOFs, making it possible to simulate properties that were previously unrealistic to calculate with quantum mechanical methods.
