You are here

Award Data

For best search results, use the search terms first and then apply the filters

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 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 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. Modeling the Effects of Gamma Irradiation Electro-Optic Components

    SBC: SCIENCE & ENGINEERING ASSOC., INC.            Topic: N/A

    The USAF Material Command (AFMC) and the Defense Logistics Agency (DLA), Defense Microelectronics Activity (DMA) has a critical need to support military planners in establishing a cost effective approach to selecting components and identifying system behavior during the design process, minimizing expensive testing and design failures. Current test facilties are expensive to run as well as time co ...

    SBIR Phase I 1997 Department of DefenseAir Force
  2. Hypersonic Aerothermal Analysis Program for a Maneuvering Missile/Fighter Aircraft


    Future USAF vehicles (missiles/fighter aircrafts) will have to operate under high altitude flight conditions in order to reach global targets and/or to meet unforeseen threats to the security of USA. A new accurate engineering code is needed to determine quickly the aerothermal characteristics of the vehicle and optimizeits shape, trajectory, and/or performance. The maneuvering vehicle will have ...

    SBIR Phase I 1997 Department of DefenseAir Force
  3. Autonomous Station Keeping Using Closed-Loop Feedback With H Infinity and GPS LQG/LTR Controller

    SBC: Space Products And            Topic: N/A

    Station keeping operations of satellites are primarily planned and executed from the ground control centers. With future trends towards operating satellites as part of a larger constellation, both in geostationary orbit (collocation) and lower Earth orbits, the availability of autonomous station keeping will become more critical. This proposal envisions the design of one such innovative autonomo ...

    SBIR Phase I 1997 Department of DefenseAir Force
  4. Development and Demonstration of Genetic Algorithm and Neural Network Toolkit for Campaign Modeling

    SBC: System Simulation Solutions,            Topic: N/A


    SBIR Phase I 1997 Department of DefenseAir Force
  5. Software System to Provide "Digital Automation" for Legacy Data

    SBC: Tmssequoia            Topic: N/A

    TMSSequoia proposes to develop a software system to allow conversion of paper-based legacy engineering drawings, technical manuals and reports, to a digital format. This process will include automatic extraction of data from the scanned images that is input into a Configuration Management Information System (CMIS) for storage, query and retrieval. TMSSequoia will then identify current software t ...

    SBIR Phase I 1997 Department of DefenseAir Force
  6. An Advanced Sensor For Field Characterization of Operational Laser Systems

    SBC: WAVEFRONT SCIENCES, INC.            Topic: N/A

    To field characterize laser systems the laser power, beam divergence, intensity profile and spot size of the laser must be measured with a robust, vibration insensitive system. While some of these parameters can be obtained using conventional components, beam divergence is difficult to measure because of the complexity and vibration sensitivity of typical interferometry based elements. We propos ...

    SBIR Phase I 1997 Department of DefenseAir Force
  7. Multilayer microlaminated ceramic thermal barrier coating



    SBIR Phase I 1997 Department of DefenseAir Force
  8. 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
US Flag An Official Website of the United States Government