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Deep Learning-Assisted Prediction of Porous Structures for Enhanced Heat Transfer With Oscillating Flows in Porous Media
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We report a synthetic strategy to integrate discrete coordination cages into extended porous materials by decorating opposite charges on the singular cage, which offers multidirectional electrostatic forces among cages and leads to a porous supramolecular ionic solid. The resulting material is non-centrosymmetric and affords a piezoelectric coefficient of 8.19 pC N −1 , higher than that of the wurtzite ZnO.more » « less
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