Award Data

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The Award database is continually updated throughout the year. As a result, data for FY19 is not expected to be complete until September, 2020.

  1. Machine learning for standoff detection of Special Nuclear Material (SNM)

    SBC: Clostra, Inc.            Topic: DTRA162001

    "Deep Learning for standoff detection of Special Nuclear Material (DLeN) applies the same deep learning techniques that allow computers to beat human performance in image recognition and the game of Go to detecting Special Nuclear Material. Spectral analysis and signal processing can in some cases be augmented by the use of much larger neural nets that conduct much deeper analysis of features of t ...

    SBIR Phase I 2017 Department of DefenseDefense Threat Reduction Agency
  2. Data-Driven Technology Discovery Application

    SBC: Semandex Networks Inc.            Topic: DTRA162005

    Automatically identifying emerging technologies and research trends from the high volume of the worlds scientific publications is of great significance in order to stay ahead of the critical advances that impact the development of new and disruptive technologies. Semandex and Barnstorm will implement a prototype tool, INSIGHT, that will scan large datasets from web content services and perform ana ...

    SBIR Phase I 2017 Department of DefenseDefense Threat Reduction Agency
  3. Bulk Composite Materials for Detection of Gamma Radiation

    SBC: Tetramer Technologies,L.L.C.            Topic: DTRA08005

    The objective of this proposal is to develop enabling technology for the production of bulk scintillating nanocomposites that have gamma radiation detection properties of single crystal NaI but with the manufacturability of plastic scintillators. These performance criteria may be met by developing nanoparticle polymer composites with ultra-high nanoparticle loadings. These ‘ultra-composites’ w ...

    SBIR Phase I 2008 Department of DefenseDefense Threat Reduction Agency
  4. Portable Time of Flight Mass Spectrometer for Nuclear Forensics

    SBC: CREARE LLC            Topic: DTRA08004

    Analysis of nuclear material samples in the field has many advantages over laboratory analysis. Laboratory analyses can be slow, involve increased expense, lead to additional waste generation and disposal problems, and may introduce errors due to sample degradation or mishandling. In situ analysis mitigates all of these problems. The specific aim of this project is the development of a truly por ...

    SBIR Phase I 2008 Department of DefenseDefense Threat Reduction Agency
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