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Award Data

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The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.

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. High Power Ceramic Disk Lasers with Gradient Doping Made by Direct Ink Writing

    SBC: RADIATION MONITORING DEVICES, INC.            Topic: 25c

    The power output of the high power lasers used in physics research is limited by the materials available for making the gain media in the laser. Future increases in power will require new and better materials. Operation at high power creates great thermal stresses that can lead to effects such as birefringence, thermal lensing or even physical fracture damage to the host itself. Effective cooling ...

    STTR Phase I 2018 Department of Energy
  2. Low-cost, time-resolved chemical characterization of atmospheric aerosols

    SBC: AEROSOL DEVICES INC            Topic: 23b

    Currently the chemical composition of atmospheric particulate matter is measured either by off-line analyses of time-integrated filter samples, or by in-situ instruments requiring near-constant operator oversight. These measurement approaches result in sparse or limited data coverage. Despite the critical role of composition on the health and environmental impacts of particulate matter, there exis ...

    STTR Phase I 2018 Department of Energy
  3. Algorithms for Look-down Infrared Target Exploitation

    SBC: SIGNATURE RESEARCH, INC.            Topic: 1

    Signature Research, Inc. (SGR) and Michigan Technological University (MTU) propose a Phase I STTR effort to develop a learning algorithm which exploits the spatio-spectral characteristics inherent within IR imagery and motion imagery.Our archive of modelled and labeled data sets will allow our team to thoroughly capture the variable elements that will drive machine learning performance.The overall ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  4. Fidelity Enhancement of Nuclear Power Plant Simulators Utilizing High Fidelity Simulation Predictions

    SBC: WESTERN SERVICES CORPORATION            Topic: 30c

    Accurate simulation of nuclear power plant behavior is necessary for both engineering and training applications. An engineering grade simulator, used for design, safety analysis and operations, is characterized by high fidelity, computational power, lack of real-time capability, and user non-interactive environment. By contrast, a training grade simulator, used for operator training and education, ...

    STTR Phase I 2018 Department of Energy
  5. A Concrete Additive Manufacturing Process for Fixed and Floating Wind Turbine Foundations and Towers

    SBC: JC Solutions            Topic: 14b

    Tall towers and foundations for modern offshore and land-based wind turbines are too large to transport over roads or rail due to their extremely large dimensions. Existing “one-off” on-site construction methods are too expensive, and are too slow for manufacturing foundations and towers in the large numbers needed, especially for offshore components manufactured in ports with limited lay-down ...

    STTR Phase I 2018 Department of Energy
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