The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
Liquid metal–organic frameworks
Open accessAbstract
Metal-organic frameworks (MOFs) are a family of chemically diverse materials, with applications in a wide range of fields, covering engineering, physics, chemistry, biology and medicine. Until recently, research has focused almost entirely on crystalline structures, yet now a clear trend is emerging, shifting the emphasis onto disordered states, including 'defective by design' crystals, as well as amorphous phases such as glasses and gels. Here we introduce a strongly associated MOF liquid, obtained by melting a zeolitic imidazolate framework. We combine in situ variable temperature X-ray, ex situ neutron pair distribution function experiments, and first-principles molecular dynamics simulations to study the melting phenomenon and the nature of the liquid obtained. We demonstrate from structural, dynamical, and thermodynamical information that the chemical configuration, coordinative bonding, and porosity of the parent crystalline framework survive upon formation of the MOF liquid.
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Cites
Generalized Gradient Approximation Made Simple
Perdew, J. P., Burke, K., & Ernzerhof, M. (1996) · Physical Review Letters · doi:10.1103/physrevlett.77.3865 · Cited by 215,824
Grimme, S., Antony, J., Ehrlich, S., & Krieg, H. (2010) · The Journal of Chemical Physics · doi:10.1063/1.3382344 · Cited by 59,686
Canonical sampling through velocity rescaling
Bussi, G., Donadio, D., & Parrinello, M. (2007) · The Journal of Chemical Physics · doi:10.1063/1.2408420 · Cited by 18,089
Exceptional chemical and thermal stability of zeolitic imidazolate frameworks
Park, K. S., Ni, Z., Côté, A. P., Choi, J. Y., Huang, R., Uribe-Romo, F. J., Chae, H. K., O’Keeffe, M., & Yaghi, O. M. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0602439103 · Cited by 7,563
Separable dual-space Gaussian pseudopotentials
Goedecker, S., Teter, M., & Hutter, J. (1996) · Physical Review B · doi:10.1103/physrevb.54.1703 · Cited by 7,479
VandeVondele, J., Krack, M., Mohamed, F., Parrinello, M., Chassaing, T., & Hutter, J. (2005) · Computer Physics Communications · doi:10.1016/j.cpc.2004.12.014 · Cited by 5,822
Flexible metal–organic frameworks
Schneemann, A., Bon, V., Schwedler, I., Senkovska, I., Kaskel, S., & Fischer, R. A. (2014) · Chem. Soc. Rev. · doi:10.1039/c4cs00101j · Cited by 2,211
Metal–organic framework nanosheets in polymer composite materials for gas separation
Rodenas, T., Luz, I., Prieto, G., Seoane, B., Miro, H., Corma, A., Kapteijn, F., Llabrés i Xamena, F. X., & Gascon, J. (2015) · Nature Materials · doi:10.1038/nmat4113 · Cited by 2,136
Algorithms and tools for high-throughput geometry-based analysis of crystalline porous materials
Willems, T. F., Rycroft, C. H., Kazi, M., Meza, J. C., & Haranczyk, M. (2012) · Microporous and Mesoporous Materials · doi:10.1016/j.micromeso.2011.08.020 · Cited by 1,925
Basis of Permeability/Selectivity Tradeoff Relations in Polymeric Gas Separation Membranes
Freeman, B. D. (1999) · Macromolecules · doi:10.1021/ma9814548 · Cited by 1,662
Cited by
Jiang, X., Zhang, L., Liu, S., Zhang, Y., He, Z., Li, W., Zhang, F., Shi, Y., Lü, W., Li, Y., et al. (2018) · Advanced Optical Materials · doi:10.1002/adom.201800561 · Cited by 336
Solution processable metal–organic frameworks for mixed matrix membranes using porous liquids
Knebel, A., Bavykina, A., Datta, S. J., Sundermann, L., Garzon-Tovar, L., Lebedev, Y., Durini, S., Ahmad, R., Kozlov, S. M., Shterk, G., et al. (2020) · Nature Materials · doi:10.1038/s41563-020-0764-y · Cited by 331
Carbon Capture Technologies: A Review on Technology Readiness Level
Hekmatmehr, H., Esmaeili, A., Pourmahdi, M., Atashrouz, S., Abedi, A., Ali Abuswer, M., Nedeljkovic, D., Latifi, M., Farag, S., & Mohaddespour, A. (2024) · Fuel · doi:10.1016/j.fuel.2024.130898 · Cited by 189
Metadata
- Authors
- Gaillac, R., Pullumbi, P., Beyer, K. A., Chapman, K. W., Keen, D. A., Bennett, T. D., & Coudert, F.-X.
- Venue
- Nature Materials
- Published
- 2017-10-09
- Volume
- 16
- Issue
- 11
- Pages
- 1149-1154
- ISSN
- 1476-1122 (ISSN-L)
- 1476-4660
- OpenAlex
- W2762651571
- Cited by
- 470
- References
- 40
- FWCI
- 12.89
- Type
- journal article
- Language
- en
- Open access
- green
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- Gaillac, R., Pullumbi, P., Beyer, K. A., Chapman, K. W., Keen, D. A., Bennett, T. D., & Coudert, F.-X. (2017). Liquid metal–organic frameworks. Nature Materials. https://doi.org/10.1038/nmat4998
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