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. Advanced Fast Shutter for Debris Mitigation

    SBC: Hyperion Technology Group, Inc.            Topic: DTRA143007

    In an effort to development more robust optical system coatings DTRA, in collaboration with Sandia National Labs, is working to characterize the degradation of optical materials for space systems when exposed to high intensely EUV/ cold x-rays. The experiments utilizes the Double Eagle z-pinch facility which generates high current, high voltage arc pinch plasma to produce an intense EUV and cold x ...

    SBIR Phase II 2017 Department of DefenseDefense Threat Reduction Agency
  2. Production of Chemical Reagents for Prompt-Agent-Defeat Weapons

    SBC: NALAS ENGINEERING SERVICES INC            Topic: DTRA14B001

    Nalas Engineering and Johns Hopkins University collaborated in a Phase I STTR program to study reactive mixtures of HI3O8 and nanocomposite fuels previously developed by the Weihs Group. These fuel/oxidizer mixtures are uniquely able to simultaneously produce heat and biocidal iodine gas, a combination designed to destroy biological weapons. The team at Nalas focused on evaluating conditions for p ...

    STTR Phase II 2017 Department of DefenseDefense Threat Reduction Agency
  3. Novel Munition Technologies to Attack and Defeat Weapons of Mass Destruction (WMD)

    SBC: Hyperion Technology Group, Inc.            Topic: DTRA143004

    Traditional weapon systems often fail to meet the requirements of close combat typical of the previously discussed engagement, where insurgents often blend in or store weapon amongst friendly or non-combatant forces, to shield them from precision strike munitions of a technologically superior force. This type of warfare has led to an increased focus on the use of less-lethal weapons, to reduce let ...

    SBIR Phase II 2017 Department of DefenseDefense Threat Reduction Agency
  4. 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
  5. SILICON MOSFETS

    SBC: SCIENTIFIC RESEARCH ASSOC., INC.            Topic: N/A

    SINGLE EVENT UPSETS (SEUS) INDUCED BY IONIZING RADIATION CONSTITUTE ONE OF THE MOST PRESSING PROBLEMS OF SEMICONDUCTOR TECHNOLOGY. AN UNDERSTANDING OF THE PHYSICAL MECHANISMS ASSOCIATED WITH CHARGE COLLECTION HAS ALREADY FURTHERED THE DEVELOPMENT OF HARDENING PROCEDURES.THIS UNDERSTANDING HAS DEVELOPED IN LARGE PART THROUGH IMPLEMENTATION OF TRANSIENT NUMERICAL SIMULATIONS OF SEUS. HOWEVER, AT PRE ...

    SBIR Phase I 1986 Department of DefenseDefense Threat Reduction Agency
  6. OPERATIONAL NUCLEAR EMPLOYMENT PLANNING

    SBC: Lb&m Assoc., Inc.            Topic: N/A

    N/A

    SBIR Phase I 1986 Department of DefenseDefense Threat Reduction Agency
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