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The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.

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 the Hypersonic Environment- Sensor EO/IR Effects Software (HySEES)

    SBC: SPECTRAL SCIENCES INC            Topic: AF15AT40

    ABSTRACT: Electro-optic/infrared (EO/IR) sensors are key to the mission success of future hypersonic vehicles. Although EO/IR sensors have been extensively used for subsonic flight regimes, the hypersonic flight regime creates new conditions and complexities with significant impact on optical sensors. These complexities include turbulent, high temperature gas that is in Non-Local Thermodynamic Equ ...

    STTR Phase I 2015 Department of DefenseAir Force
  2. Low Cost Repeatable Bio-FET Sensing

    SBC: TRITON SYSTEMS, INC.            Topic: AF14AT11

    ABSTRACT: The Triton team proposes to develop techniques for fabrication and characterization of high performance biofunctionalized field effect transistors (bio-FETs) for sensing applications. Nanoscale electronic materials such as silicon nanowires, carbon nanotubes and graphene are promising materials for biosensing applications. Field effect transistors (FETs) using nanomaterials have been de ...

    STTR Phase I 2015 Department of DefenseAir Force
  3. Passive Radiometry Based Aerial Navigation

    SBC: OPTO-KNOWLEDGE SYSTEMS INC            Topic: AF15AT26

    ABSTRACT: The sensor system requirements for image based navigation that uses passive millimeter wave imaging radiometry will be established based on existing RelNav and AbsNav algorithms that were demonstrated to work in multi-modal imagery. Existing flight data will be used to simulate the PMMW imagery for these tests. A preliminary design of such a PMMW system will be created. Under Phase-II th ...

    STTR Phase I 2015 Department of DefenseAir Force
  4. Enhancing Motion Imagery Classifiers By Principal Component Feature Clustering

    SBC: LONGSHORTWAY INC.            Topic: AF15AT35

    ABSTRACT: LongShortWay Inc and NorthEastern University propose new feature clustering methods that improve performance of motion imagery classifiers. Developed algorithms will be demonstrated on AFRL Minor Area Motion Imagery (MAMI) data; BENEFIT: Enhanced classifier performance, robust feature selection

    STTR Phase I 2015 Department of DefenseAir Force
  5. Measurement and Modeling of Surface Coking in Fuel-Film Cooled Liquid Rocket Engines

    SBC: CFD RESEARCH CORPORATION            Topic: AF15AT21

    ABSTRACT: Designing an efficient and effective film cooling system to protect critical components of modern rocket engines requires a significant number of challenges to be addressed. Complicating the already difficult hydrodynamic challenges, thermal cracking of hydrocarbon fuels is always accompanied by coke formation. The coke deposits on the combustor and nozzle walls reduces heat fluxes and c ...

    STTR Phase I 2015 Department of DefenseAir Force
  6. High Speed Electronic Device Simulator

    SBC: CFD RESEARCH CORPORATION            Topic: AF15AT33

    ABSTRACT: This project will develop and demonstrate a software package based on coupled Fokker-Planck (FP) - Fermi Kinetic Transport (FKT) models and full-wave Maxwell electromagnetic (EM) solver to accurately predict semiconductor device behavior from dc up through the mm-wave and THz frequency ranges. The FP model provides accurate non-equilibrium occupation functions for hot electrons with real ...

    STTR Phase I 2015 Department of DefenseAir Force
  7. Carbon Nanotube Technology for RF Amplification

    SBC: CARBON TECHNOLOGY INC            Topic: AF15AT15

    ABSTRACT: Carbon nanotubes (CNTs) have great potential for high performance RF applications. Theoretical study has shown that the electrical current in a CFET is intrinsically linear. Today, linearity is the underlying limitation in increasing the data transport densities of wireless networks. The complex modulation protocols used to achieve higher data rates requires linear amplifiers. Increasing ...

    STTR Phase I 2015 Department of DefenseAir Force
  8. Phase Transitions, Nucleation and Mixing Modeling through Trans-Critical Conditions

    SBC: CASCADE TECHNOLOGIES INC            Topic: AF14AT23

    ABSTRACT: In this proposal, researchers from Cascade Technologies and Professors Matthias Ihme and Ali Mani from Stanford University lay out a plan to develop predictive modeling tools for transcritical flows. Phase I of the three phase plan is outlined in detail and extensions are proposed for Phases II and III. Central points of the Phase I plan include: A comprehensive review and assessment ...

    STTR Phase I 2015 Department of DefenseAir Force
  9. Environmentally-Compliant Kinetic Metallization Coating Materials for Corrosion and Wear Protection

    SBC: INNOVATIVE TECHNOLOGY INC            Topic: AF15AT31

    ABSTRACT: Future corrosion and wear protection of structural metals on on military aircraft and weapon systems will require advanced development of metallic and composite materials that are not restricted with respect to environment, safety and occupational health regulations. Conventional metallic alloys containing chromium, nickel, cobalt, and tungsten that have historically provided coating pro ...

    STTR Phase I 2015 Department of DefenseAir Force
  10. A Comprehensive Framework to Develop, Refine, and Validate Learning Agents for Tactical Autonomy

    SBC: ORBIT LOGIC INCORPORATED            Topic: AF15AT14

    ABSTRACT: To maintain superiority in the battle domains of space, ground, air and sea, it is natural that the U.S. move toward incorporating autonomous capabilities to enhance/replace the traditional role of humans. Continued advances in processing capability and techniques to employ decision logic and adaptive learning strategies will soon make this vision reality. To deploy any such capability o ...

    STTR Phase I 2015 Department of DefenseAir Force
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