Rapid acquisition of data dense solid-state CPMG NMR spectral sets using multi-dimensional statistical analysis
Abstract
Tensor-rank decomposition methods have been applied to variable contact time29Si{1H} CP/CPMG NMR data sets to extract NMR dynamics information and dramatically decrease conventional NMR acquisition times.
- Authors:
-
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Sandia National Lab. (SNL-CA), Livermore, CA (United States)
- Hunter College of City Univ. of New York, New York, NY (United States)
- Publication Date:
- Research Org.:
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States); Sandia National Lab. (SNL-CA), Livermore, CA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- OSTI Identifier:
- 1463021
- Alternate Identifier(s):
- OSTI ID: 1456294; OSTI ID: 1464198
- Report Number(s):
- LLNL-JRNL-736456; SAND-2018-8223J
Journal ID: ISSN 1463-9076; PPCPFQ; 888524
- Grant/Contract Number:
- AC52-07NA27344; AC04-94AL85000
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Physical Chemistry Chemical Physics. PCCP (Print)
- Additional Journal Information:
- Journal Name: Physical Chemistry Chemical Physics. PCCP (Print); Journal Volume: 20; Journal Issue: 26; Journal ID: ISSN 1463-9076
- Publisher:
- Royal Society of Chemistry
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY
Citation Formats
Mason, H. E., Uribe, E. C., and Shusterman, J. A. Rapid acquisition of data dense solid-state CPMG NMR spectral sets using multi-dimensional statistical analysis. United States: N. p., 2018.
Web. doi:10.1039/C8CP02382D.
Mason, H. E., Uribe, E. C., & Shusterman, J. A. Rapid acquisition of data dense solid-state CPMG NMR spectral sets using multi-dimensional statistical analysis. United States. https://doi.org/10.1039/C8CP02382D
Mason, H. E., Uribe, E. C., and Shusterman, J. A. Wed .
"Rapid acquisition of data dense solid-state CPMG NMR spectral sets using multi-dimensional statistical analysis". United States. https://doi.org/10.1039/C8CP02382D. https://www.osti.gov/servlets/purl/1463021.
@article{osti_1463021,
title = {Rapid acquisition of data dense solid-state CPMG NMR spectral sets using multi-dimensional statistical analysis},
author = {Mason, H. E. and Uribe, E. C. and Shusterman, J. A.},
abstractNote = {Tensor-rank decomposition methods have been applied to variable contact time29Si{1H} CP/CPMG NMR data sets to extract NMR dynamics information and dramatically decrease conventional NMR acquisition times.},
doi = {10.1039/C8CP02382D},
journal = {Physical Chemistry Chemical Physics. PCCP (Print)},
number = 26,
volume = 20,
place = {United States},
year = {Wed Jun 20 00:00:00 EDT 2018},
month = {Wed Jun 20 00:00:00 EDT 2018}
}
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Cited by: 3 works
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Figures / Tables:
Figure-1: Data derived from the tensor-rank decomposition of variable contact time 29Si{1H} CP/MAS CPMG NMR data sets for the DPTS-SBA sample. Contributions from component 1 are given in blue and those from component 2 are given in red (a) The extracted T2 data points (solid symbols) and their corresponding least-squaremore »
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Figures / Tables found in this record:
Figures/Tables have been extracted from DOE-funded journal article accepted manuscripts.