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Title: Hypothesis-driven classification of materials using nuclear magnetic resonance relaxometry

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.
Authors:
; ; ;
Publication Date:
OSTI Identifier:
1288655
Report Number(s):
9,411,031
13/869,718
DOE Contract Number:
AC52-06NA25396
Resource Type:
Patent
Resource Relation:
Patent File Date: 2013 Apr 24
Research Org:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Sponsoring Org:
USDOE
Country of Publication:
United States
Language:
English
Subject:
46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY