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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. Unsteady Scramjet Heat Load

    SBC: GLOYER-TAYLOR LABORATORIES INC            Topic: AF093182

    To ensure the success of mid-scale scramjet development efforts, it will be essential to include the effects of chamber pressure oscillations (i.e. instability) on the engine heat load. This will require the inclusion of both the oscillatory heat load that accompanies the pressure oscillations and the impact of nonlinear combustion instability effects on the heat load. This can be accomplished us ...

    SBIR Phase I 2010 Department of DefenseAir Force
  2. Tactical Rocket Engine Stability Tool

    SBC: GLOYER-TAYLOR LABORATORIES INC            Topic: OSD08PR1

    History has repeatedly shown that combustion instability is the greatest technical risk faced in any rocket development program. To address this risk, Gloyer-Taylor Laboratories LLC (GTL) has created the Universal Combustion Device Stability (UCDS™) process. UCDS employs a tightly integrated analysis of all forms of disturbances, acoustic, vortical, and entropic waves, superimposed on the quas ...

    SBIR Phase II 2010 Department of DefenseAir Force
  3. EMERGING TECHNOLOGIES RESULTING IN LIGHTER AIRCRAFT WEIGHT INCREASED ENGINE PERFORMANCE (ISP) AND IMPROVED DESIGN TOOLS

    SBC: ACCURATE AUTOMATION CORPORATION            Topic: N/A

    WE WILL STUDY THE FEASIBILITY OF USING NEURAL NETWORKS (NN) IN FAULT DETECTION AND ISOLATION (FDI) SYSTEMS. WE HOPE TO DEMONSTRATE THE APPLICABILITY OF NEURAL NETWORK TECHNOLOGIES AND ALGORITHMS FOR THE DESIGN OF IMPORTANT SUBSYSTEMS TO BE USED ON BOARD THE HIGH VISABILITY NASP OR X-30. THIS RESEARCH PROJECT WILL CONTRIBUTE TO THE DEVELOPMENT OF THE MOST ADVANCED AVIONICS FOR USE IN THIS 21ST CENT ...

    SBIR Phase II 1991 Department of DefenseAir Force
  4. METHODS FOR REDUCING PLASMA EFFECTS ON THE NASP

    SBC: ACCURATE AUTOMATION CORPORATION            Topic: N/A

    WE PROPOSE THE DEVELOPMENT OF AN INNOVATIVE NEUROCONTROLLER THAT GENERATES TRAJECTORIES WHICH REDUCE PLASMA EFFECTS ON THE COMMUNICATION SYSTEM OF THE NASP. WE WILL MODEL PLASMA SHEATH GENERATION AND INCORPORATE THIS MODEL INTO A GHAME FLIGHT SIMULATOR ON A SILICON GRAPHICS WORKSTATION. THIS MODEL WILL THEN BE USED IN THE DEVELOPMENT OF THE CONTROLLER AND SUITABLE ADAPTATION LAWS. COST FUNCTIONS W ...

    SBIR Phase II 1993 Department of DefenseAir Force
  5. PARALLEL NEURAL NETWORK TOOLBOX FOR SUPERCOMPUTERS

    SBC: ACCURATE AUTOMATION CORPORATION            Topic: N/A

    THIS PROPOSAL INVOLVES RESEARCH INTO A SUPERCOMPUTER-BASED ENVIRONMENT FOR RESEARCH INTO MASSIVELY PARALLEL NEURAL-NETWORK ALGORITHMS FOR LARGE SCALE, COMPUTATIONALLY INTENSE PROBLEMS. THIS ENVIRONMENT WILL HAVE APPLICATION TO AREAS SUCH AS IMAGE PROCESSING, PATTERN RECOGNITION, CONTROL SIGNAL PROCESSING, DATA COMPRESSION, AND FAULT DIAGNOSIS. ALL OF THESE ARE AREAS WHICH INVOLVE MASSIVE AMOUNTS O ...

    SBIR Phase II 1993 Department of DefenseAir Force
  6. Sensor Fusion in a Dynamic Model-Based System

    SBC: ACCURATE AUTOMATION CORPORATION            Topic: N/A

    An approach to object identification and sensor fusion of images is proposed. Preprocessing techniques which perform a useful and computationally efficient transformation on the image will be considered. Once the image has been transformed to a more efficient format, mathematical morphology and neural networks are proposed to address the issues of edge detection, identification, sensor fusion and ...

    SBIR Phase II 1994 Department of DefenseAir Force
  7. Ontogenic Neural Networks for Avionics Applications

    SBC: ACCURATE AUTOMATION CORPORATION            Topic: N/A

    The study of neural networks which possess the capability to learn and grow with little or no supervision will be explored during this research effort. These networks exhibit ontogenic behavior and are termed ontogenic neural networks. This reasearch effort explores the use of hybrid neural network structures which are capable of self-organization, feature discovery and self generation in a compos ...

    SBIR Phase I 1993 Department of DefenseAir Force
  8. Neural Network Methods for Preventing Unstarts

    SBC: ACCURATE AUTOMATION CORPORATION            Topic: N/A

    We will use an innovative neural network algorithm to perdict and control National Aero-Space Plane(NASP) unstarts at the earliest possible moment. Unstarts present a design challenge to hypersonic aircraft. An unstart occurs when the pressure at the aft end of the engine flow path reaches a critical level. This overpressure causes a "choking" of the air flow. The flow tends to spill around the in ...

    SBIR Phase II 1994 Department of DefenseAir Force
  9. Advanced Neurocontrol Methods for a Remotely Piloted Vehicle

    SBC: ACCURATE AUTOMATION CORPORATION            Topic: N/A

    During Phase I we will advance and develop innovative Adaptive Critic based neural network control methodologies specifically for a Remotely Piloted Vehicle (RPV) based upon the aerodynamics of the National AeroSpace Plane (NASP). Phase II will involve the actual implementation which will prove these neurocontrol concepts. This work will be the first step in creating the complex aerocontroller for ...

    SBIR Phase I 1994 Department of DefenseAir Force
  10. Investigation of Neural Network Hardware for Electronic Warfare Applications

    SBC: ACCURATE AUTOMATION CORPORATION            Topic: N/A

    Accurate Automation Corporation (AAC) has developed a new artificial neural network processor (NNP) based upon a sparse Multiple Instruction Multiple Data (MIMD) structure which is ideally suited for Electronic Warfare (EW) applications. The proposed research will investigate the use of the AAC NNP for EW applications such as emitter identification which is used in ELINT, ESM, and RWR receivers. T ...

    SBIR Phase II 1996 Department of DefenseAir Force
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