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Phys Chem Chem Phys. 2011 Oct 14;13(38):17339-58. doi: 10.1039/c1cp21731c. Epub 2011 Aug 31.

Computational characterization of zeolite porous networks: an automated approach.

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Department of Chemical and Biological Engineering, Princeton University, Princeton, NJ 08544, USA.


An automated method has been developed to fully characterize the three-dimensional structure of zeolite porous networks. The proposed optimization-based approach starts with the crystallographic coordinates of a structure and identifies all portals, channels, and cages in a unit cell, as well as their connectivity. We apply our algorithms to known zeolites, hypothetical zeolites, and zeolite-like structures and use the characterizations to calculate important quantities such as pore size distribution, accessible volume, surface area, and largest cavity and pore limiting diameters. We aggregate this data over many framework types to gain insights about zeolite selectivity. Finally, we develop a continuous-time Markov chain model to estimate the probability of occupancy of adsorption sites throughout the porous network. ZEOMICS, an online database of structure characterizations and web tool for the automated approach is freely available to the scientific community (

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