Separation of formaldehyde, N2, and O2 in MOFs: Crystal graph convolutional neural network, machine learning, and experimental
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Background: Formaldehyde, a hazardous indoor pollutant, poses serious health risks even at low concentrations. Metal-organic frameworks (MOFs), due to their high porosity and tunable structures, offer promising potential for sele... ...
