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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. SiC Arrayed Detectors for Fast Neutron Detection

    SBC: GENESIC SEMICONDUCTOR INC.            Topic: DTRA07001

    Fast neutron radiography is targeted towards detection of explosives, contraband and for the screening of cargo. The energy discrimination of conventional neutron detection methods is poor and the presence of a gamma-ray background is a major source of interference. In this program, GeneSiC Semiconductor proposes the development of unique and innovative Silicon Carbide neutron detectors using thic ...

    SBIR Phase I 2007 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. Novel Methods to Measure Penetrator Dynamics in Multi-Layer Geometries

    SBC: Thornton Tomasetti, Inc.            Topic: DTRA07011

    This proposal describes an approach to meeting DTRA’s goals of improving sensor technology for penetrating weapons. Weidlinger Associates Inc. (WAI) has significant experience in the design and use of ultrasound technologies for a broad range of end-use applications. WAI is also familiar with the terradynamic issues related to penetrators and the targeting aspects through its work in Hard Targ ...

    SBIR Phase I 2007 Department of DefenseDefense Threat Reduction Agency
  4. 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
  5. 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
  6. 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
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