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Title: Rapid acquisition of data dense solid-state CPMG NMR spectral sets using multi-dimensional statistical analysis

Journal Article · · Physical Chemistry Chemical Physics. PCCP (Print)
DOI:https://doi.org/10.1039/C8CP02382D· OSTI ID:1463021
ORCiD logo [1];  [2];  [3]
  1. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
  2. Sandia National Lab. (SNL-CA), Livermore, CA (United States)
  3. Hunter College of City Univ. of New York, New York, NY (United States)

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.

Research Organization:
Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States); Sandia National Lab. (SNL-CA), Livermore, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
Grant/Contract Number:
AC52-07NA27344; AC04-94AL85000
OSTI ID:
1463021
Alternate ID(s):
OSTI ID: 1456294; OSTI ID: 1464198
Report Number(s):
LLNL-JRNL-736456; SAND-2018-8223J; PPCPFQ; 888524
Journal Information:
Physical Chemistry Chemical Physics. PCCP (Print), Vol. 20, Issue 26; ISSN 1463-9076
Publisher:
Royal Society of ChemistryCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 3 works
Citation information provided by
Web of Science

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Speedy Component Resolution: An Improved Tool for Processing Diffusion-Ordered Spectroscopy Data journal May 2008
29Si NMR in solid state with CPMG acquisition under MAS journal August 2008

Figures / Tables (6)


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