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Computational prediction of hetero-interpenetration in metal-organic frameworks.

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We present a computational algorithm that can screen through a database of metal-organic framework structures and identify materials that lead to hetero-interpenetration with targeted porous materials. Two MOFs (IRMOF-1 and… Click to show full abstract

We present a computational algorithm that can screen through a database of metal-organic framework structures and identify materials that lead to hetero-interpenetration with targeted porous materials. Two MOFs (IRMOF-1 and IRMOF-8) were selected as target materials and our algorithm identified PCN-68 and PCN-610 as matching candidates for interpenetration. Molecular simulation results indicate that the interpenetrated MOFs possess enhanced methane and hydrogen adsorption properties compared to the parent materials.

Keywords: computational prediction; hetero interpenetration; metal organic; prediction hetero

Journal Title: Chemical communications
Year Published: 2017

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