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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.

Displaying 81 - 88 of 88 results
 
  • Record 1 TO 88

  1. Sol-Gel Derived Optical Coatings

    SBC: TPL, Inc.            Topic: N/A

    N/A

    SBIR Phase I 1996 Department of DefenseAir Force

  2. POSTPROCESSING OF CFD DATA

    SBC: VIGYAN INC            Topic: N/A

    N/A

    SBIR Phase I 1990 Department of DefenseAir Force

  3. Development and Demonstration of PC-Based Satellite Telemetry Server System

    SBC: VOSS SCIENTIFIC LLC            Topic: N/A

    N/A

    SBIR Phase I 1996 Department of DefenseAir Force

  4. PC-BASED SYSTEM FOR THE RAPID DETERMINATION OF HPM TESTING FIDELITY IN ANECHOIC CHAMBER ENVIRONMENTS

    SBC: VOSS SCIENTIFIC LLC            Topic: N/A

    N/A

    SBIR Phase I 1990 Department of DefenseAir Force

  5. Multilayer microlaminated ceramic thermal barrier coating

    SBC: MATERIALS MODIFICATIONS INC            Topic: N/A

    N/A

    SBIR Phase I 1997 Department of DefenseAir Force

  6. Target Discrimination for Subsurface Ordance Characterization

    SBC: BARRON ASSOCIATES, INC.            Topic: N/A

    The Cesium vapor magnotometer and ground-penetrating radar senors currently used to identify subsurface Unexploded Ordnance locations also respond to underground clutter and anomalies. The ultimate objective of this project is to develop a classifier or discriminator that has the potential of providing significantly improved performance on target discrimination for subsurface ordnance ...

    SBIR Phase I 1996 Department of DefenseAir Force

  7. Reinforcement Learning for Avionics Applications

    SBC: BARRON ASSOCIATES, INC.            Topic: N/A

    Simulation-based optimization techniques that enlist reinforcement learning controllers are ideally suited for complex and multi-objective optimization problems that cannot be solved easily using traditional techniques, especially when the stochastic natures or the environment, resources, and external interactive entities are taken into account. Reinforcement learning based on incremental value i ...

    SBIR Phase I 1997 Department of DefenseAir Force

  8. Improved Guidance of Autonomous Munitions and Submunitions

    SBC: BARRON ASSOCIATES, INC.            Topic: N/A

    N/A

    SBIR Phase I 1996 Department of DefenseAir Force
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