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Materials design by evolutionary optimization of functional groups in metal-organic frameworks. | LitMetric

Materials design by evolutionary optimization of functional groups in metal-organic frameworks.

Sci Adv

Centre for Catalysis Research and Innovation, Department of Chemistry and Biomolecular Science, University of Ottawa, 10 Marie Curie Private, Ottawa K1N 6N5, Canada.

Published: November 2016

AI Article Synopsis

Article Abstract

A genetic algorithm that efficiently optimizes a desired physical or functional property in metal-organic frameworks (MOFs) by evolving the functional groups within the pores has been developed. The approach has been used to optimize the CO uptake capacity of 141 experimentally characterized MOFs under conditions relevant for postcombustion CO capture. A total search space of 1.65 trillion structures was screened, and 1035 derivatives of 23 different parent MOFs were identified as having exceptional CO uptakes of >3.0 mmol/g (at 0.15 atm and 298 K). Many well-known MOF platforms were optimized, with some, such as MIL-47, having their CO adsorption increase by more than 400%. The structures of the high-performing MOFs are provided as potential targets for synthesis.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5262444PMC
http://dx.doi.org/10.1126/sciadv.1600954DOI Listing

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