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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. Unified Kinetic/Continuum Flow Solver with Adaptive Cartesian Mesh for Hypersonic Flows in the Earth Atmosphere

    SBC: CFD RESEARCH CORPORATION            Topic: AF08T019

    The design of future hypersonic vehicles requires detailed understanding of flow regimes ranging from rarefied to continuum. Hypervelocity flows are characterized by high temperatures, real gas effects, nonequilibrium chemistry, and ionization. The goal of this project is to develop unified kinetic/continuum solution methods with automatic domain decomposition for a wide range of Air Force applic ...

    STTR Phase II 2010 Department of DefenseAir Force
  2. Unified sensor for atmospheric turbulence and refractivity characterization

    SBC: G. A. Tyler Associates, Inc.            Topic: AF17AT008

    In this effort, tOSC and the University of New Mexico COSMIAC (Configurable Space Microsystems Innovation Applications Center) will combine to generate a Target-in-the-Loop (TIL) system concept that can simultaneously measure the strength of atmospheric turbulence and scintillation, as well as the refractivity occurring at the measurement time. For this system concept, we will leverage existing tO ...

    STTR Phase II 2019 Department of DefenseAir Force
  3. Unified sensor for atmospheric turbulence and refractivity characterization

    SBC: MZA ASSOCIATES CORPORATION            Topic: AF17AT008

    MZA partnered with the Michigan Technological University (MTU) proposes development and testing of key components for our unified Atmospheric Refractivity and Turbulence Sensor (ARTS.) Software upgrades will be made to MZA’s DELTA-Sky sensor to enable atmospheric refraction measurements in addition to existing turbulence profiling. The illuminator assembly to implement the ARTS probe laser ...

    STTR Phase II 2019 Department of DefenseAir Force
  4. Use of Highly Porous Polymer Beads to Remove Anti-A and Anti-B Antibodies from Plasma for Transfusion

    SBC: CYTOSORBENTS MEDICAL INC            Topic: DHP15B001

    The ready availability of universal donor plasma to rapidly treat massively bleeding hospital trauma patients and warfighters with combat casualties is a key element of current recommendations for trauma resuscitation, yet universal AB donor plasma is rel

    STTR Phase I 2016 Department of DefenseDefense Health Agency
  5. Validation Experiments to Measure Transient Aerothermoelastic Response of a Curved Panel to Hypersonic Flows

    SBC: METROLASER, INCORPORATED            Topic: AF16AT24

    An experiment to obtain validation data on the transient aerothermoelastic response of a curved panel in hypersonic flows will be designed and evaluated for its feasibility. Significant challenges must be overcome for a successful experimental campaign i...

    STTR Phase I 2016 Department of DefenseAir Force
  6. Verification and Validation of Algorithms for Resilient Complex Software Controlled Systems

    SBC: XL SCIENTIFIC LLC            Topic: AF17CT05

    This effort seeks verification tools and techniques to ensure safety and stability of spacecraft Guidance, Navigation, and Control (GN&C) algorithms, particularly the attitude control system integrated with autonomy software. Advanced control algorithms and autonomy are increasingly necessary to enable responsiveness of fleets of vehicles to attitude constraints and object avoidance. Verus Researc ...

    STTR Phase II 2019 Department of DefenseAir Force
  7. Vibration imaging for the characterization of extended, non-cooperative targets

    SBC: TAU TECHNOLOGIES LLC            Topic: AF19AT006

    Tau Technologies is teaming with Dr. David Voelz and his research group at New Mexico State University (NMSU) to propose “Vibration Imaging for the characterization of extended non-cooperative targets�, which employs dual-pulses in two different variations for vibration imaging in order to characterize non-cooperative targets at extended standoffs. One method is based on double-pulse ...

    STTR Phase I 2019 Department of DefenseAir Force
  8. Vibration imaging for the characterization of extended, non-cooperative targets

    SBC: EXCITING TECHNOLOGY LLC            Topic: AF19AT006

    The imaging vibrometer development will be based on a representative Directed Energy (DE) aperture assumed to be 30 cm. This effort will provide both DE and Combat IDentification (CID), modes for relative short range DE operations, and an ISR Combat IDentification (CID) mode for operation at extended range. A combination of analytic derivations and wave optics simulations will be used to define a ...

    STTR Phase I 2019 Department of DefenseAir Force
  9. Vibration imaging for the characterization of extended, non-cooperative targets

    SBC: Guidestar Optical Systems, Inc.            Topic: AF19AT006

    Locating objects that vibrate is a way to discern potential threats and locate targets. However, current vibrometry technology typically measures only the global vibration of target and cannot create an extended spatial measurement of the vibration profile of the target. These solutions cannot identify what the target is, nor can they locate potential weak spots on the target, because they lack sp ...

    STTR Phase I 2019 Department of DefenseAir Force
  10. Virtual Reality for Multi-INT Deep Learning (VR-MDL)

    SBC: INFORMATION SYSTEMS LABORATORIES INC            Topic: AF19AT010

    Recent advances and successes of deep learning neural networks (DLNN) techniques and architectures have been well publicized over the last several years. Voluminous, high-quality and annotated training data, or trial and error in a realistic environment, is required to achieve the promised performance potential of DLNNs. Unfortunately for DoD and/or Intelligence Community (IC) applications of mult ...

    STTR Phase I 2019 Department of DefenseAir Force
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