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Hypothesis-driven classification of materials using nuclear magnetic resonance relaxometry

United States Patent

August 9, 2016
View the Complete Patent at the US Patent & Trademark Office
Los Alamos National Laboratory - Visit the Technology Transfer Division Website
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.
Espy; Michelle A. (Los Alamos, NM), Matlashov; Andrei N. (Los Alamos, NM), Schultz; Larry J. (Los Alamos, NM), Volegov; Petr L. (Los Alamos, NM)
Los Alamos National Security, LLC (Los Alamos, NM)
13/ 869,718
April 24, 2013
STATEMENT REGARDING FEDERAL RIGHTS This invention was made with government support under Contract No. DE-AC52-06NA25396, awarded by the U.S. Department of Energy to Los Alamos National Security, LLC for the operation of the Los Alamos National Laboratory. The government has certain rights in the invention.