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Multivariate analysis of disorder in metal–organic frameworks

Adam F. Sapnik, Irene Bechis, Alice M. Bumstead, Timothy Johnson, Philip A. Chater, David A. Keen, Kim E. Jelfs, Thomas D. Bennett

2022Nature Communications32 citationsDOIOpen Access PDF

Abstract

The rational design of disordered frameworks is an appealing route to target functional materials. However, intentional realisation of such materials relies on our ability to readily characterise and quantify structural disorder. Here, we use multivariate analysis of pair distribution functions to fingerprint and quantify the disorder within a series of compositionally identical metal-organic frameworks, possessing different crystalline, disordered, and amorphous structures. We find this approach can provide powerful insight into the kinetics and mechanism of structural collapse that links these materials. Our methodology is also extended to a very different system, namely the melting of a zeolitic imidazolate framework, to demonstrate the potential generality of this approach across many areas of disordered structural chemistry.

Topics & Concepts

GeneralityMetal-organic frameworkMultivariate statisticsAmorphous solidZeolitic imidazolate frameworkComputer scienceImidazolateMaterials scienceNanotechnologyBiological systemChemistryMachine learningPhysical chemistryCrystallographyBiologyPsychologyInorganic chemistryAdsorptionPsychotherapistMetal-Organic Frameworks: Synthesis and ApplicationsX-ray Diffraction in CrystallographyCrystallography and molecular interactions