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Lattice simulation method to model diffusion and NMR spectra in porous materials

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Lattice simulation method to model diffusion and NMR spectra in porous materials. / Merlet, Celine; Forse, Alexander C.; Griffin, John M. et al.

In: Journal of Chemical Physics, Vol. 142, No. 9, 094701, 07.03.2015.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Merlet, C, Forse, AC, Griffin, JM, Frenkel, D & Grey, CP 2015, 'Lattice simulation method to model diffusion and NMR spectra in porous materials', Journal of Chemical Physics, vol. 142, no. 9, 094701. https://doi.org/10.1063/1.4913368

APA

Merlet, C., Forse, A. C., Griffin, J. M., Frenkel, D., & Grey, C. P. (2015). Lattice simulation method to model diffusion and NMR spectra in porous materials. Journal of Chemical Physics, 142(9), [094701]. https://doi.org/10.1063/1.4913368

Vancouver

Merlet C, Forse AC, Griffin JM, Frenkel D, Grey CP. Lattice simulation method to model diffusion and NMR spectra in porous materials. Journal of Chemical Physics. 2015 Mar 7;142(9):094701. Epub 2015 Mar 2. doi: 10.1063/1.4913368

Author

Merlet, Celine ; Forse, Alexander C. ; Griffin, John M. et al. / Lattice simulation method to model diffusion and NMR spectra in porous materials. In: Journal of Chemical Physics. 2015 ; Vol. 142, No. 9.

Bibtex

@article{604f388d9ea74064af27fb2543b1969a,
title = "Lattice simulation method to model diffusion and NMR spectra in porous materials",
abstract = "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.",
keywords = "DOUBLE-LAYER CAPACITORS, RING CURRENT, CARBON MATERIALS, CHEMICAL-SHIFT, MOLECULES, SUPERCAPACITORS, SPECTROSCOPY, ENHANCEMENT, COEFFICIENT, ADSORPTION",
author = "Celine Merlet and Forse, {Alexander C.} and Griffin, {John M.} and Daan Frenkel and Grey, {Clare P.}",
year = "2015",
month = mar,
day = "7",
doi = "10.1063/1.4913368",
language = "English",
volume = "142",
journal = "Journal of Chemical Physics",
issn = "0021-9606",
publisher = "AMER INST PHYSICS",
number = "9",

}

RIS

TY - JOUR

T1 - Lattice simulation method to model diffusion and NMR spectra in porous materials

AU - Merlet, Celine

AU - Forse, Alexander C.

AU - Griffin, John M.

AU - Frenkel, Daan

AU - Grey, Clare P.

PY - 2015/3/7

Y1 - 2015/3/7

N2 - 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.

AB - 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.

KW - DOUBLE-LAYER CAPACITORS

KW - RING CURRENT

KW - CARBON MATERIALS

KW - CHEMICAL-SHIFT

KW - MOLECULES

KW - SUPERCAPACITORS

KW - SPECTROSCOPY

KW - ENHANCEMENT

KW - COEFFICIENT

KW - ADSORPTION

U2 - 10.1063/1.4913368

DO - 10.1063/1.4913368

M3 - Journal article

VL - 142

JO - Journal of Chemical Physics

JF - Journal of Chemical Physics

SN - 0021-9606

IS - 9

M1 - 094701

ER -