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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. Development of a Novel Infrared Detector Based on Parameter Amplification

    SBC: Aegis Technologies Group, LLC, The            Topic: N/A

    The Defense Modeling and Simulation Office (DMSO) has developed the High Level Architecture (HLA) as one of the principle components of a DoD-wide Common Technical Framework for modeling and simulation (M&S). Unlike previous distributed simulation technologies such as DIS and SIMNET, HLA provides federation developers, via the Object Model Template (OMT), the means to define the structure and for ...

    SBIR Phase II 1998 Department of DefenseMissile Defense Agency
  2. An HLA Advanced Exercise Scenario Generation Tool Suite

    SBC: Aegis Technologies Group, LLC, The            Topic: N/A

    This proposal will identify a Technical Design and Implementation Project Plan for an HLA compliant tool suite that will automate the Exercise Scenario Generation process consistent with the High Level Architecture (HLA) specifications and process. The proposed design for the tool suite will provide automation support for the scenario generation process, the selection of Federation Object Models ...

    SBIR Phase I 1998 Department of DefenseAir Force
  3. An HLA Advanced Exercise Scenario Generation Tool Suite

    SBC: Aegis Technologies Group, LLC, The            Topic: N/A

    This proposal will identify a Technical Design and Implementation Project Plan for an HLA compliant tool suite that will automate the Exercise Scenario Generation process consistent with the High Level Architecture (HLA) specifications and process. The proposed design for the tool suite will provide automation support for the scenario generation process, the selection of Federation Object Models ...

    SBIR Phase II 1998 Department of DefenseAir Force
  4. Neural Network Based Aerodynamic Flight Simulation

    SBC: Amtec Corporation            Topic: N/A

    The objective of this effort is to develop a neural network-based aerodynamic prediction model of an existing weapon systems and integrate this model into a PC-based six degree-of-freedom (6DOF) simulation of the weapon. Two extensive sets of wind tunnel data have been used to demonstrate the potential of using Artificial Neural Network programs as limited aerodynamic prediction codes. The algor ...

    SBIR Phase I 1998 Department of DefenseAir Force
  5. Fluoropolymer Coating by In-Situ Polymerization on Dispersed Aluminum Nanoparticles

    SBC: AVEKA, INC.            Topic: N/A

    Nanophase metal particles are becoming increasingly important in areas such as powder metallurgy, catalysis and energetic materials. One of the more important nanophase metals is aluminum . Although several promising routes for the production of this material exist, not one of these synthesis techniques have successfully addressed the issue of the oxidation of these same nanoparticles, which lea ...

    SBIR Phase I 1998 Department of DefenseAir Force
  6. Portable Total Integrated Scatter and Retro-Reflectance Instrument

    SBC: AZ Technology Inc            Topic: N/A

    Characterizing the optical properties of materials is becoming an increasing challenge as new materials, composite structures, coatings, etc. are constantly being developed. The ability to accurately measure the optical signature, specifically the Total Integrated Scatter (TIS) and Retro-Reflectance (or back-scatter), from a surface is useful in many applications including surveillance, intercep ...

    SBIR Phase II 1998 Department of DefenseAir Force
  7. Slipper Wear/Gouging Analytical Tool

    SBC: AZ Technology Inc            Topic: N/A

    This SBIR effort will develop analytical techniques that can be used to predict slipper wear patterns and gouging phenomena throughout the sled velocity regime to Mach 10. The proposed approach is to develop a new PC Window analytical software tool based on correlations of test data and other semi-empirical methods. This software tool will allow the user to input a set of initial conditions incl ...

    SBIR Phase II 1998 Department of DefenseAir Force
  8. A Dialectic Approach to Moving Target Indicator Correlation

    SBC: BEVILACQUA RESEARCH CORPORATION            Topic: N/A

    Bevilacqua Research Corporation (BRC), a woman-owned, small corporation based in Huntsville, AL, and Mystech Associates Inc., of Falls Church, VA, propose to jointly design and develop a unique robust information correlation architecture for MTI data based upon Dialectic (Bounded) Neural Networks. This Phase I effort will utilize the existing Phoenix C4I software as a COTS framework for the Bound ...

    SBIR Phase II 1998 Department of DefenseAir Force
  9. Adaptive Multiscale Simulation Tools for Thermo-Optoelectronic Design of VCSEL Arrays

    SBC: CFD RESEARCH CORPORATION            Topic: N/A

    Advances in optoelectronic devices, vertical cavity surface Emitting Lasers (VCSEL) in particular, have opened up many new possibilities for high density, 2D arrays of sources and detectors that can be applied in a broad range of applications. While remarkable progress has been made by physicists in understanding basic fundamentals of optoelectronic devices and their cw performance and packaging ...

    SBIR Phase II 1998 Department of DefenseDefense Advanced Research Projects Agency
  10. Nonlinear Dynamics Testbed (NDT) For Demonstrating Stabilization of Diode Laser Arrays

    SBC: DYNETICS, INC.            Topic: N/A

    Dynetics, with SAIC as a subcontractor, proposes to investigate chaos control techniques for stabilizing diode laser arrays by using nonlinear electronic circuits to model the array elements. This approach offers the capability to temporally scale the laser dynamics and to implement control algorithms based on computationally intensive approaches, such as neural networks. To facilitate these inv ...

    SBIR Phase II 1998 Department of DefenseDefense Advanced Research Projects Agency
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