Multivariate analysis of disorder in metal-organic frameworks.
Springer Science and Business Media LLC
MetadataShow full item record
Sapnik, A. F., Bechis, I., Bumstead, A. M., Johnson, T., Chater, P. A., Keen, D. A., Jelfs, K. E., & et al. (2022). Multivariate analysis of disorder in metal-organic frameworks.. Nat Commun https://doi.org/10.1038/s41467-022-29849-6
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.
JM11106 EPSRC iCASE Funding
Royal Society (UF150021)
Royal Society (RGF\EA\180092)
Embargo Lift Date
External DOI: https://doi.org/10.1038/s41467-022-29849-6
This record's URL: https://www.repository.cam.ac.uk/handle/1810/337698
Attribution 4.0 International
Licence URL: https://creativecommons.org/licenses/by/4.0/