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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. Open Call for Science and Technology Created by Early-Stage (e.g. University) Teams

    SBC: ZENITH AEROSPACE INC            Topic: AF19CT010

    The objective of this proposal is to investigate the feasibility and to increase the awareness of the potential stakeholder with Air Force on the technology of a multifunctional structural battery that was originally developed by a Team at Stanford University. The multifunctional structural battery embeds Li-ion battery materials into high-strength composites material. The structural battery not o ...

    STTR Phase I 2020 Department of DefenseAir Force
  2. Electrochemical Machining of Refractory Metals for Aerospace Applications

    SBC: Voxel Innovations, Inc.            Topic: AF19CT010

    Refractory metals are critical for many high temperature Air Force applications including hypersonic leading edges, rocket nozzles and combustion chambers, and in-space thruster nozzles. However, due to challenging refractory alloy mechanical properties and the application-based requirement for thin-walled geometries, conventional machining processes are difficult or ineffective. Therefore, Voxel ...

    STTR Phase I 2020 Department of DefenseAir Force
  3. Super-High-Resolution, Distributed Photonic Sensors for Aerospace Platforms

    SBC: INTELLIGENT FIBER OPTIC SYSTEMS CORP            Topic: AF19CT010

    IFOS and STTR partner Stanford University propose an innovative fiber-optic sensor array leveraging the latest advances in slow-light fiber Bragg gratings (SL-FBG). SL-FBGs substantially improve upon the sensitivity of commercially proven conventional FBGs (C-FBG) by more than 3 orders of magnitude and can be interrogated at megahertz rates. SL-FBG differ from C-FBG in their refractive index modul ...

    STTR Phase I 2020 Department of DefenseAir Force
  4. Open Call for Science and Technology Created by Early-Stage (e.g. University) Teams

    SBC: RICLAB LLC            Topic: AF19CT010

    Evidence shows that dielectric coatings have tens of PPM of optical scattering, and excess thermal noise. We believe that crystallites that naturally form in the evaporated films cause both negative effects and that nanolayering can impede crystallite formation. In this initial phase we will test if nanolayering retards crystallization (depress crystallite formation) with one or two material pairs ...

    STTR Phase I 2020 Department of DefenseAir Force
  5. Advanced Measurement Capability of Turbine Engine Exhaust and Jet Flows through Non-intrusive Methods

    SBC: NON-CONTACT TECHNOLOGIES LLC            Topic: AF19CT010

    The United States Air Force (USAF) at Arnold Engineering Development Complex (AEDC) has identified a need for improved turbine engine exhaust flow measurement. Non-Contact Technologies, LLC, (NCT) seeks to apply research techniques developed by the University of Tennessee Space Institute (UTSI) for non-intrusive diagnostics of exhaust and gas flows from turbine engines during ground testing. The U ...

    STTR Phase I 2020 Department of DefenseAir Force
  6. Assembly of Topological Qubits into a Register

    SBC: STREAMLINE AUTOMATION LLC            Topic: AF19CT010

    Quantum computer technology is critical and strategic to the Air Force. Quantum computer technology based on topological qubits is inherently stable and resistant to errors because it exploits local topological symmetries and global boundary conditions of chalcogenide materials to yield unique, emergent quantum cooperative signatures. Wake Forest University and Streamline Automation have been work ...

    STTR Phase I 2020 Department of DefenseAir Force
  7. Portable 3D ultrasound technology for diagnosis of traumatic brain injury (TBI)

    SBC: UTOPIACOMPRESSION,CORPORATION            Topic: AF19CT010

    UtopiaCompression Corporation (UC) with its academic partner Augusta University and hardware collaborator URSUS Medical will establish and demonstrate robustness of a low-cost, portable 3D ultrasound (US) system for imaging of the optic nerve sheath (ONS). The 3D ONS models generated from US images aid in screening of susceptible mild traumatic brain injury (mTBI) that results in temporary and sub ...

    STTR Phase I 2020 Department of DefenseAir Force
  8. Open Call for Science and Technology Created by Early-Stage (e.g. University) Teams

    SBC: CORVID TECHNOLOGIES, LLC            Topic: AF19CT010

    The proposed project will develop subject-specific FE models of the head and integrate them with a full body finite element model. The combination of patient-specific head geometries with the generalized body model will provide a platform with which to apply improved boundary conditions for the head and neck, including applied muscle tension and the application of appropriate kinematics of the hea ...

    STTR Phase I 2020 Department of DefenseAir Force
  9. Open Call for Science and Technology Created by Early-Stage (e.g. University) Teams

    SBC: BDYWR, LLC            Topic: AF19CT010

    Real Time pilot health/performance monitoring requires body worn physiological sensors to communicate their data to a monitoring device in the cockpit. Traditionally Radio Frequency (RF) based wireless communication would be used in these scenarios. However, these RF waves can potentially affect critical radio communication between the airplane and ground. Electro Quasi-Static Human Body Communica ...

    STTR Phase I 2020 Department of DefenseAir Force
  10. Open Call for Science and Technology Created by Early-Stage (e.g. University) Teams

    SBC: QARDIAN LABS, LLC            Topic: AF19CT010

    Heart disease is the leading cause of death, and experts estimate that approximately half of all heart attacks and strokes occur in people who have not been flagged as 'at risk.' To this end, we investigate the potential of using data analysis, and in particular the design and use of deep neural networks (DNNs) for detecting heart disease based on routine clinical data. Our main contribution is th ...

    STTR Phase I 2020 Department of DefenseAir Force
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