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Award Data

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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. An Experimentally and Numerically Trained Neural Network Co

    SBC: LUNA INNOVATIONS INCORPORATED            Topic: N/A

    The autonomous control of a hypersonic missile from launch to target is a very challenging problem. F&S proposed to use a combination of experiments using MEMS and numeric simulations using CFD, to train a neural net for the control of micro-jets. The trained neural net control system would be able to control a hypersonic missile throughout its flight. Such a system could possibly be used to re ...

    STTR Phase I 1998 Department of DefenseAir Force
  2. "Polymer-fullerence Ironically Self-Assebled Monolayer Phot

    SBC: LUNA INNOVATIONS INCORPORATED            Topic: N/A

    Revolutionary ionically self-assembled monolayer (ISAM) methods of creating multifunctional thin-films monolayer by monolayer have recently been proven to yield self-assembled, electronically and phonically--active polymeric thin fi!ms. F&S and Virginia Tech have demonstrated that the ISAM technique can be used to fabricate both polymer light emitting diodes and inherently noncentrosymmetric elect ...

    STTR Phase I 1998 Department of DefenseAir Force
  3. Novel Mathematical/Computational Approaches to surveillance

    SBC: TRIDENT SYSTEMS LLC            Topic: N/A

    Current algorithms for data compression are founded on three basic principles:transformation, quantization, and entropy coding. The transformation attempts to remove statistical redundancies from the input, thereby reducing the data to a smaller more manageable set. The quantizers convert samples into a finite set of levels, typically in a way that minimizes some predefined error measure (e.g. mea ...

    STTR Phase I 1998 Department of DefenseAir Force
  4. Modeling and Nonlinear Adaptive Control of Weapons Bay Oscillations

    SBC: High Technology Corporation            Topic: N/A

    N/A

    STTR Phase I 1999 Department of DefenseAir Force
  5. Development of Quasicrystaline Coatings using Intense Ion Beam Heat Treatment

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

    N/A

    STTR Phase I 1999 Department of DefenseAir Force
  6. Tools for Modeling the Knowledge of Meeting Participants

    SBC: Research Development Corporation            Topic: N/A

    N/A

    STTR Phase I 1999 Department of DefenseAir Force
  7. N/A

    SBC: ADENOSINE THERAPEUTICS, LLC            Topic: N/A

    N/A

    STTR Phase I 2000 Department of Health and Human ServicesNational Institutes of Health
  8. N/A

    SBC: ADENOSINE THERAPEUTICS, LLC            Topic: N/A

    N/A

    STTR Phase I 2000 Department of Health and Human ServicesNational Institutes of Health
  9. N/A

    SBC: ADENOSINE THERAPEUTICS, LLC            Topic: N/A

    N/A

    STTR Phase I 2000 Department of Health and Human ServicesNational Institutes of Health
  10. N/A

    SBC: ADENOSINE THERAPEUTICS, LLC            Topic: N/A

    N/A

    STTR Phase I 2000 Department of Health and Human ServicesNational Institutes of Health
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