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This dataset supports the results included in the poster presentation ‘Molecular Dynamics of Paramagnetic and Water in Hydrates’, Arifah Abdu Rahaman, DA Faux, PJ McDonald, at the 39th Cement and Concrete Science Conference, 9-10 September 2019, University of Bath, UK. NMR is an important technique for non-destructively characterising cement materials. NMR relaxation rate response is dominated by the interactions of water with paramagnetic ions. This research aims to inform a simplified theoretical model in order to interpret the experimental data. The results of molecular dynamics (MD) simulations are presented to describe the nano-scale dynamics of the paramagnetic impurities and the water. The model will contribute to the interpretation of NMR results from cement-like material such as cement paste, plasters and mortar. The results proved that the key physics behind the theoretical model are well captured to describe the nano-scale dynamics of the paramagnetic impurities and the water. In future, the model will predict the frequency dependent spinlattice relaxation time T1 (f) for a range of aqueous paramagnetic ions to provide fits to experimental data. The conference proceedings are published by University of Bath in association with Cementitious Materials Group, Institute of Materials Minerals and Mining, London, UK. https://researchportal.bath.ac.uk/en/publications/39th-cement-and-concrete-science-conference-2019 https://purehost.bath.ac.uk/ws/portalfiles/portal/197842011/39th_Cement_and_Concrete_Science_Conference_2019.pdf
cement paste, aqueous paramagnetic ions, NMR relaxation, mortar, nano-scale dynamics, NMR, cementitious materials, molecular dynamics (MD) simulations, plasters
cement paste, aqueous paramagnetic ions, NMR relaxation, mortar, nano-scale dynamics, NMR, cementitious materials, molecular dynamics (MD) simulations, plasters
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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