Classification of materials using nuclear magnetic resonance dispersion and/or x-ray absorption
Abstract
Methods for determining the identity of a substance are provided. A classification parameter set is defined to allow identification of substances that previously could not be identified or to allow identification of substances with a higher degree of confidence. The classification parameter set may include at least one of relative nuclear susceptibility (RNS) or an x-ray linear attenuation coefficient (LAC). RNS represents the density of hydrogen nuclei present in a substance relative to the density of hydrogen nuclei present in water. The extended classification parameter set may include T.sub.1, T.sub.2, and/or T.sub.1.rho. as well as at least one additional classification parameter comprising one of RNS or LAC. Values obtained for additional classification parameters as well as values obtained for T.sub.1, T.sub.2, and T.sub.1.rho. can be compared to known classification parameter values to determine whether a particular substance is a known material.
- Inventors:
- Issue Date:
- Research Org.:
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1341886
- Patent Number(s):
- 9557394
- Application Number:
- 13/869,705
- Assignee:
- U.S. Department of Energy (Washington, DC)
- Patent Classifications (CPCs):
-
G - PHYSICS G01 - MEASURING G01N - INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
G - PHYSICS G01 - MEASURING G01R - MEASURING ELECTRIC VARIABLES
- DOE Contract Number:
- AC52-06NA25396
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 2013 Apr 24
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 36 MATERIALS SCIENCE; 46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY
Citation Formats
Espy, Michelle A., Matlashov, Andrei N., Schultz, Larry J., Volegov, Petr L., Urbaitis, Algis, Sandin, Henrik, Yoder, Jacob, and Surko, Stephen. Classification of materials using nuclear magnetic resonance dispersion and/or x-ray absorption. United States: N. p., 2017.
Web.
Espy, Michelle A., Matlashov, Andrei N., Schultz, Larry J., Volegov, Petr L., Urbaitis, Algis, Sandin, Henrik, Yoder, Jacob, & Surko, Stephen. Classification of materials using nuclear magnetic resonance dispersion and/or x-ray absorption. United States.
Espy, Michelle A., Matlashov, Andrei N., Schultz, Larry J., Volegov, Petr L., Urbaitis, Algis, Sandin, Henrik, Yoder, Jacob, and Surko, Stephen. Tue .
"Classification of materials using nuclear magnetic resonance dispersion and/or x-ray absorption". United States. https://www.osti.gov/servlets/purl/1341886.
@article{osti_1341886,
title = {Classification of materials using nuclear magnetic resonance dispersion and/or x-ray absorption},
author = {Espy, Michelle A. and Matlashov, Andrei N. and Schultz, Larry J. and Volegov, Petr L. and Urbaitis, Algis and Sandin, Henrik and Yoder, Jacob and Surko, Stephen},
abstractNote = {Methods for determining the identity of a substance are provided. A classification parameter set is defined to allow identification of substances that previously could not be identified or to allow identification of substances with a higher degree of confidence. The classification parameter set may include at least one of relative nuclear susceptibility (RNS) or an x-ray linear attenuation coefficient (LAC). RNS represents the density of hydrogen nuclei present in a substance relative to the density of hydrogen nuclei present in water. The extended classification parameter set may include T.sub.1, T.sub.2, and/or T.sub.1.rho. as well as at least one additional classification parameter comprising one of RNS or LAC. Values obtained for additional classification parameters as well as values obtained for T.sub.1, T.sub.2, and T.sub.1.rho. can be compared to known classification parameter values to determine whether a particular substance is a known material.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2017},
month = {1}
}
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