Patents by Inventor Jacob Yoder

Jacob Yoder has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Classification of materials using nuclear magnetic resonance dispersion and/or x-ray absorption
    Patent number: 9557394
    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 T1, T2, and/or T1? 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 T1, T2, and T1? can be compared to known classification parameter values to determine whether a particular substance is a known material.
    Type: Grant
    Filed: April 24, 2013
    Date of Patent: January 31, 2017
    Assignee: U.S. Department of Energy
    Inventors: Michelle A. Espy, Andrei N. Matlashov, Larry J. Schultz, Petr L. Volegov, Algis Urbaitis, Henrik Sandin, Jacob Yoder, Stephen Surko
  • Classification of Materials Using Nuclear Magnetic Resonance Dispersion and/or X-Ray Absorption
    Publication number: 20130285657
    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 T1, T2, and/or T1? 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 T1, T2, and T1? can be compared to known classification parameter values to determine whether a particular substance is a known material.
    Type: Application
    Filed: April 24, 2013
    Publication date: October 31, 2013
    Inventors: Michelle A. Espy, Andrei N. Matlashov, Larry J. Schultz, Petr L. Volegov, Algis Urbaitis, Henrik Sandin, Jacob Yoder, Stephen Surko