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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. Computational Methods for Dynamic Scene Reconstruction

    SBC: ROBOTIC RESEARCH OPCO, LLC            Topic: N16AT017

    Reconstruction of dynamic scenes is at the limits of the state of the art. It is still challenging to accurately reconstruct models in static scenes. Dynamic scenes add a list of challenges that further complicate the problem:separating the dynamic objects from the motion created by the camera motionMorphological changes to the dynamic object itself. Not only is the system moving, but it is actual ...

    STTR Phase I 2016 Department of DefenseNavy
  2. Hypersonic Experimental Aerothermoelastic Test (HEAT)

    SBC: GLOBAL AEROSPACE CORPORATION            Topic: AF16AT24

    The Air Force is interested in developing technology that would enable long duration hypersonic flight with reusable aircraft. Hypersonic flow presents many design challenges that can be encapsulated into an aerothermoelastic problem, i.e., a complex dyn...

    STTR Phase I 2016 Department of DefenseAir Force
  3. Open Standard for Display Agnostic 3D Streaming (DA3DS)

    SBC: Third Dimension Technologies LLC            Topic: AF16AT07

    The Air Force has identified a need for the creation of a common streaming model for 3D data that is agnostic to the display technology. To address this need, Third Dimension Technologies (TDT) and Oak Ridge National Laboratory (ORNL) propose to form a c...

    STTR Phase I 2016 Department of DefenseAir Force
  4. Wearable Neurophysiological Monitoring Device for Circadian Rhythm Assessment and Intervention

    SBC: Cognionics, Inc.            Topic: A16AT014

    This Phase I STTR project will develop a platform to demonstrate high-quality, multi-modal acquisition of neurophysiological signals, including EEG, heart rate/blood oxygenation via photoplethysmography (PPG), electrodermal (EDA) activity, temperature plus environmental factors such as ambient light and sound in a simple, wearable headband. The hardware will be coupled with the development of a cl ...

    STTR Phase I 2016 Department of DefenseArmy
  5. Development of powder bed printing (3DP) for rapid and flexible fabrication of energetic material payloads and munitions

    SBC: MAKEL ENGINEERING, INC.            Topic: DTRA16A001

    This program will demonstrate how additive manufacturing technologies can be used with reactive and high energy materials to create rapid and flexible fabrication of payload and munitions. Our primary approach to this problem will be to use powder bed binder printing techniques to print reactive structures. The anticipated feedstock will consist of composite particles containing all reactant spe ...

    STTR Phase I 2016 Department of DefenseDefense Threat Reduction Agency
  6. Development of Adaptive Closure Models for Large Eddy Simulations of Lean Blow-Out Conditions

    SBC: CFD RESEARCH CORPORATION            Topic: AF16AT14

    Next-generation turbulent combustion models must enable accurate prediction of lean blow-out and flashback for complex geometries, fuels and operating conditions relevant to the Air Force. Improved models are needed to better predict kinetically and hydr...

    STTR Phase I 2016 Department of DefenseAir Force
  7. Subspace Tracking and Manifold Learning Based Heterogeneous Data Fusion for Unexpected Event Discovery

    SBC: INTELLIGENT FUSION TECHNOLOGY, INC.            Topic: AF16AT12

    We aim to develop data-driven heterogeneous data fusion approaches for unanticipated event/target detection, which will be more robust and immune to model mismatch problems encountered by model-based approaches. Considering the low intrinsic dimensionality of the sensor data, we propose several data-level fusion approaches based on some state-of-the-art dimensionality reduction techniques. For lin ...

    STTR Phase I 2016 Department of DefenseAir Force
  8. Modeling and Simulation of Lean Blowout in High-Pressure Swirl-Stabilized Combustors

    SBC: METACOMP TECHNOLOGIES INC            Topic: AF16AT14

    The ability of Large-eddy simulation (LES) techniques to accurately predict combustion instabilities and the onset of lean blow-out is not yet firmly established, especially in realistic operating conditions. A number of modeling choices play an importan...

    STTR Phase I 2016 Department of DefenseAir Force
  9. Heterogeneous Data Discovery Using Deep Neural Networks

    SBC: KickView Corporation            Topic: AF16AT12

    Improving feature extraction, event detection, and target classification in multi-sensor systems requires new mathematical methods and processing techniques. In addition, previous research and experience suggests that leveraging sensor data that has not experienced significant dimensionality reduction can preserve subtle features when processed jointly with other relevant data. However, traditiona ...

    STTR Phase I 2016 Department of DefenseAir Force
  10. Fully Metallic Self-Fragmenting Structural Reactive Materials Using Composites and Alloys Comprised of Aluminum, Lithium, and Magnesium

    SBC: Adranos Energetics LLC            Topic: DTRA16A002

    While aluminum casing materials provide some enhanced performance and thermal loading to explosive ordinance, their overall effectiveness is highly limited by incomplete combustion and long residence times. In order to reduce these problems, the casing material must be designed to facilitate rapid fragmentation through either specialized casing geometries or greatly refined initial particle sizes. ...

    STTR Phase I 2016 Department of DefenseDefense Threat Reduction Agency
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