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 June, 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. 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
  3. Ballistic Missile System Innovative Radiation Hardened/Tolerant Electronics Products

    SBC: Orora Design Technologies, Inc.            Topic: MDA03056

    Orora Design Technologies, teaming up ATK Mission Research and Boeing Solid-State Electronics, with the support from Oregon State University and Vanderbilt University, proposes to develop innovative mixed-mode and mixed-level simulation capacities for combined simulation of radiation and electrical performance to speed up simulation in radiation hard designs of VLSI circuits. The ultimate goal is ...

    SBIR Phase II 2006 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. Calibration of Ensemble Forecasts Using Reforecast Datasets

    SBC: ATMOSPHERIC TECHNOLOGY SERVICES CO. LLC            Topic: DTRA06006

    The accurate numerical prediction of hazardous airborne plumes requires two important capabilities. First, meteorological conditions at fine spatial scale both at the time of plume release as well as a few hours into the future, and second, quantification of this information in a statistically reliable probabilistic framework. The proposed study will use a combination of fine-scale ensemble re-fo ...

    SBIR Phase I 2006 Department of DefenseDefense Threat Reduction Agency
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