Triad National Security, LLC

U.S. Department of Energy

Jacob Luther Yoder

Michelle A Espy

Jurgen G Schmidt

Pulak Nath

Robert F Williams

Per Erik Magnelind

Ryszard Michalczyk

Scarlett Widgeon Paisner

Algis V Urbaitis

Michael Timothy Janicke

Derrick C Kaseman

Petr Lvovich Volegov

Larry Joe Schultz

Andrei Nikolaevich Matlashov

Algis Urbaitis

Stephen Surko

Henrik Sandin

Tammie Renee Nelson

A nuclear magnetic resonance (NMR) system is configured to detect combinatorial signatures stemming from homonuclear and heteronuclear J-couplings. The system comprises a pre-polarization system, a detector, and NMR electronics, wherein the detector includes an NMR magnet with a magnetic field of strength between 300 mT and 10 &#x3bc;T.

Methods and systems for J-coupled nuclear magnetic resonance

A nuclear magnetic resonance (NMR) system is configured to detect chemical threat material. The system comprises a magnet configured to generate a magnetic field of about 300 millitesla or less; and a probe configured to detect nuclear relaxation of at least two nuclei selected from the group consisting ofH,F,P andN, and detect the spin density of nuclei selected from the group consisting ofH,F,P andN, following excitation.

Methods and systems for low to ultra-low magnetic field nuclear magnetic resonance for detecting chemical nerve agents

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, T, and/or Tas 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, T, and Tcan be compared to known classification parameter values to determine whether a particular substance is a known material.

Classification of materials using nuclear magnetic resonance dispersion and/or x-ray absorption

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Los Alamos, NM, United States of America

Jacob Luther Yoder