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NMR 'diffraction' in solids?
Abstract
A new approach to the study of structure in solids by NMR is described. Multiple-pulse line-narrowing sequences and an applied magnetic field gradient are used. The theoretical analysis highlights the analogy with X-ray diffraction. Experimental results from a model one-dimensional lattice are presented.
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Citations
Cited by
Echo-Planar Imaging: Magnetic Resonance Imaging in a Fraction of a Second
Stehling, M. K., Turner, R., & Mansfield, P. (1991) · Science · doi:10.1126/science.1925560 · Cited by 623
Self-citationPros and cons of ultra-high-field MRI/MRS for human application
Ladd, M. E., Bachert, P., Meyerspeer, M., Moser, E., Nagel, A. M., Norris, D. G., Schmitter, S., Speck, O., Straub, S., & Zaiss, M. (2018) · Progress in Nuclear Magnetic Resonance Spectroscopy · doi:10.1016/j.pnmrs.2018.06.001 · Cited by 544
Mansfield, P., & Maudsley, A. A. (1977) · The British Journal of Radiology · doi:10.1259/0007-1285-50-591-188 · Cited by 364
Self-citationErnst, R. R. (2011) · Journal of Magnetic Resonance · doi:10.1016/j.jmr.2011.08.006 · Cited by 314
Quantitative magnetic resonance imaging of brain anatomy and in vivo histology
Weiskopf, N., Edwards, L. J., Helms, G., Mohammadi, S., & Kirilina, E. (2021) · Nature Reviews Physics · doi:10.1038/s42254-021-00326-1 · Cited by 300
Metadata
- Authors
- Mansfield, P., & Grannell, P. K.
- Venue
- Journal of Physics C: Solid State Physics
- Publisher
- IOP Publishing
- Published
- 1973-11-13
- Volume
- 6
- Issue
- 22
- Pages
- L422-L426
- ISSN
- 0022-3719 (ISSN-L)
- OpenAlex
- W2093103416
- Cited by
- 551
- References
- 0
- FWCI
- 3.18
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: NMR 'diffraction' in solids? https://app.cochat.ai/papers/10.1088/0022-3719/6/22/007
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- Mansfield, P., & Grannell, P. K. (1973). NMR 'diffraction' in solids? Journal of Physics C: Solid State Physics. https://doi.org/10.1088/0022-3719/6/22/007
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
