Hypothesis-driven classification of materials using nuclear magnetic resonance relaxometry
Patent
·
OSTI ID:1288655
Technologies related to identification of a substance in an optimized manner are provided. A reference group of known materials is identified. Each known material has known values for several classification parameters. The classification parameters comprise at least one of T.sub.1, T.sub.2, T.sub.1.rho., a relative nuclear susceptibility (RNS) of the substance, and an x-ray linear attenuation coefficient (LAC) of the substance. A measurement sequence is optimized based on at least one of a measurement cost of each of the classification parameters and an initial probability of each of the known materials in the reference group.
- Research Organization:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC52-06NA25396
- Assignee:
- Los Alamos National Security, LLC (Los Alamos, NM)
- Patent Number(s):
- 9,411,031
- Application Number:
- 13/869,718
- OSTI ID:
- 1288655
- Resource Relation:
- Patent File Date: 2013 Apr 24
- Country of Publication:
- United States
- Language:
- English
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