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A team of researchers has developed a new method using machine learning to greatly improve simulations of metal-organic frameworks (MOFs). This will accelerate the development and application of these complex systems, which have a wide range of potential uses including hydrogen and gas storage, heat conduction, and CO2 and water sequestration.
