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The Award database is continually updated throughout the year. As a result, data for FY24 is not expected to be complete until March, 2025.

Download all SBIR.gov award data either with award abstracts (290MB) or without award abstracts (65MB). A data dictionary and additional information is located on the Data Resource Page. Files are refreshed monthly.

The SBIR.gov award data files now contain the required fields to calculate award timeliness for individual awards or for an agency or branch. Additional information on calculating award timeliness is available on the Data Resource Page.

  1. IT IS PROPOSED TO DEVELOP A MANAGEMENT METHODOLOGY FOR PERFORMING TRADEOFF STUDIES OF NUCLEAR SURVIVABILITY OPTIONS FOR BATTLEFIELD SYSTEMS.

    SBC: Beers Assocs Inc            Topic: N/A

    IT IS PROPOSED TO DEVELOP A MANAGEMENT METHODOLOGY FOR PERFORMING TRADEOFF STUDIES OF NUCLEAR SURVIVABILITY OPTIONS FOR BATTLEFIELD SYSTEMS. THE PURPOSE FOR THE METHODOLOGY IS TO PROVIDE SYSTEMS MANAGERS (AND THEIR ADVISERS) A METHOD FOR ENSURING THE COST-EFFECTIVE SURVIVABILITY TECHNIQUES ARE INCLUDED IN THE SYSTEMS PLANNING IN EARLY STAGES. THE INTENT OF THE PROPOSAL IS TO SUPPORT IMPLEMENTATION ...

    SBIR Phase I 1986 Department of DefenseDefense Threat Reduction Agency
  2. Heterdyne Interferometer for Triggering Gas Puff PRSs

    SBC: HY-Tech Research Corp.            Topic: N/A

    Large X-ray generators using gas fill loads are a key element in the DTRA simulator program. Consistent relative timing between the injection of the gas shell and the generator current pulse is crucial to producing consistent, high-yield x-ray pulses.To that end HY-Tech proposes replacing existing high voltage trigger pin technology, with a sensitive, all fiber-optic heterodyne interferometer ba ...

    SBIR Phase I 2003 Department of DefenseDefense Threat Reduction Agency
  3. RESONANT HOLOGRAPHY TO STUDY PLASMA EROSION OPENING SWITCHES DEVELOPMENT

    SBC: HY-Tech Research Corp.            Topic: N/A

    N/A

    SBIR Phase I 1986 Department of DefenseDefense Threat Reduction Agency
  4. VULNERABILITY TO AIRBLAST-INDUCED SHOCK

    SBC: Los Alamos Technical Assocs In            Topic: N/A

    THE DAMAGING EFFECTS OF NUCLEAR AIRBLAST, THERMAL AND PROMPT RADITION, AND EMP ON EXPOSED EQUIPMENT AND STRUCTURES ARE WELL KNOWN. AN ADDITIONAL, LESS WIDELY RECOGNIZED BUT POTENTIALLY SERIOUS NUCLEAR EFFECT IS THAT OF AIRBLAST-INDUCED SHOCK (ABIS). EQUIPMENT MOUNTED INSIDE AN ENCLOSED SPACE CAN BE EXPOSED TO LARGE INDUCED VELOCITIES AND ACCELERATIONS, PRIMARLY IN THE HORIZONTAL DIRECTION. THE INT ...

    SBIR Phase I 1986 Department of DefenseDefense Threat Reduction Agency
  5. SNAPSHOT: A System for Predicting Human Physical Traits from Sample DNA

    SBC: PARABON NANOLABS, INC.            Topic: DTRA102007

    OBJECTIVE: Develop a Forensic DNA Analysis Kit for Genetic Intelligence that can be used on unknown human DNA samples collected from the battlefield to provide information about the individual who deposited the sample, such as potential ethnicity, height, eye color, hair color, age, sex, and/or facial features. The kit should leverage Short Tandem Repeats (STR), Single Nucleotide Polymorphisms (S ...

    SBIR Phase I 2011 Department of DefenseDefense Threat Reduction Agency
  6. Numerical Model of Subsurface Transport of Noble Gases in Fractured Geologic Media for Detection and Identification of Subsurface Nuclear Explosion Te

    SBC: MODERN TECHNOLOGY SOLUTIONS, INC.            Topic: DTRA111002

    Surface detection of specific radioisotopes of the noble gases xenon and argon are essential for detection and discrimination of underground nuclear explosions. We propose a unique combination of numerical modeling and stable isotope release experiments to enhance the predictability of subsurface transport of the noble gases of interest. Our proposed research will identify and quantify the physi ...

    SBIR Phase I 2011 Department of DefenseDefense Threat Reduction Agency
  7. Automated pattern recognition methods to identify nuclear explosions

    SBC: Acorn Science & Innovation, Inc.            Topic: DTRA182005

    Reliable automated pattern recognition in the current system is limited by excessive noise and clutter combined with insufficient and/or ambiguous features. Our team consisting of AcornSI and Leidos thus propose a multi-step approach based on the combined effects of improved detection, feature extraction, phase identification, and global association. A key innovation here is creating a new classif ...

    SBIR Phase I 2019 Department of DefenseDefense Threat Reduction Agency
  8. Modeling of Chemical Hazards Dispersion in Lakes and Reservoirs in CONUS

    SBC: MARITIME PLANNING ASSOCIATES, INC.            Topic: DTRA182004

    The objective of this study is to develop methods to adequately characterize the chemical and physical environments of lakes and reservoirs for the CONUS operational implementation within SHARC. Over the course of this project we will explore the novel and innovative integration of deep machine learning, data analytics, computational fluid mechanics and in-situ/overhead empirical data. Specificall ...

    SBIR Phase I 2019 Department of DefenseDefense Threat Reduction Agency
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