期刊
JOURNAL OF CHEMICAL PHYSICS
卷 142, 期 9, 页码 -出版社
AMER INST PHYSICS
DOI: 10.1063/1.4913368
关键词
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资金
- School of the Physical Sciences of the University of Cambridge
- Sims Scholarship
- EPSRC (via the Supergen consortium)
- EU ERC
- NanoDTC Cambridge
- EPSRC [EP/I000844/1]
- Engineering and Physical Sciences Research Council [EP/L019469/1, EP/I000844/1] Funding Source: researchfish
- EPSRC [EP/L019469/1, EP/I000844/1] Funding Source: UKRI
A coarse-grained simulation method to predict nuclear magnetic resonance (NMR) spectra of ions diffusing in porous carbons is proposed. The coarse-grained model uses input from molecular dynamics simulations such as the free-energy profile for ionic adsorption, and density-functional theory calculations are used to predict the NMR chemical shift of the diffusing ions. The approach is used to compute NMR spectra of ions in slit pores with pore widths ranging from 2 to 10 nm. As diffusion inside pores is fast, the NMR spectrum of an ion trapped in a single mesopore will be a sharp peak with a pore size dependent chemical shift. To account for the experimentally observed NMR line shapes, our simulations must model the relatively slow exchange between different pores. We show that the computed NMR line shapes depend on both the pore size distribution and the spatial arrangement of the pores. The technique presented in this work provides a tool to extract information about the spatial distribution of pore sizes from NMR spectra. Such information is difficult to obtain from other characterisation techniques. (C) 2015 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution 3.0 Unported License.
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