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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. CO2mposite: Recycling of CO2, Carbon Fiber Waste, and Biomaterials into Composite Panels for Lower Embodied Carbon Building Materials

    SBC: SKYNANO LLC            Topic: NA

    "SkyNano, Endeavor Composites, and The University of Tennessee Knoxville propose to develop a composite panel that contains CO2-derived carbon nanotubes (CNTs), recycled carbon fiber waste, and bio-derived natural fibers that exhibits excellent mechanical and functional properties, while maintaining a carbon-negative footprint on a cradle-to-gate and cradle-to-grave basis. By the end of the Phase ...

    STTR Phase I 2022 Department of EnergyARPA-E
  2. CO2mposite: Recycling of CO2, Carbon Fiber Waste, and Biomaterials into Composite Panels for Lower Embodied Carbon Building Materials

    SBC: SKYNANO LLC            Topic: NA

    "SkyNano, Endeavor Composites, and The University of Tennessee Knoxville propose to develop a composite panel that contains CO2-derived carbon nanotubes (CNTs), recycled carbon fiber waste, and bio-derived natural fibers that exhibits excellent mechanical and functional properties, while maintaining a carbon-negative footprint on a cradle-to-gate and cradle-to-grave basis. By the end of the Phase ...

    STTR Phase II 2022 Department of EnergyARPA-E
  3. CO2mposite: Recycling of CO2, Carbon Fiber Waste, and Biomaterials into Composite Panels for Lower Embodied Carbon Building Materials

    SBC: SKYNANO LLC            Topic: NA

    "SkyNano, Endeavor Composites, and The University of Tennessee Knoxville propose to develop a composite panel that contains CO2-derived carbon nanotubes (CNTs), recycled carbon fiber waste, and bio-derived natural fibers that exhibits excellent mechanical and functional properties, while maintaining a carbon-negative footprint on a cradle-to-gate and cradle-to-grave basis. By the end of the Phase ...

    STTR Phase II 2022 Department of EnergyARPA-E
  4. Laser Activated PLASma (LAPLAS) for Standoff Electronic Denial

    SBC: ADVANCED SYSTEMS & TECHNOLOGIES INC            Topic: A19CT007

    Robotic systems in general, and Unmanned Arial Vehicles (UAVs) in particular, pose a threat for both military and civilians when in the wrong hands. The triad of Kinetic, High-Power Microwave and Laser weapon systems currently used or considered for Counter-UAV (C-UAV) operation though effective in disrupting their performance, might be hazardous when used in a populated area. In the Phase I progr ...

    STTR Phase II 2023 Department of DefenseArmy
  5. Low-Energy Additive Construction for the Moon and Mars

    SBC: MASTEN SPACE SYSTEMS, INC.            Topic: T7

    The technology presented in this proposal has the capability of providing surface stabilization for landing pads, and a low-energy solution to build roads and other early components of infrastructure that are needed to kickstart a functional lunar or Martian base. The proposed innovation is a novel binder chemistry for the formation of a high-strength, heat-tolerant, regolith-binder composite mate ...

    STTR Phase II 2023 National Aeronautics and Space Administration
  6. Modeling and Design Tool for Bio-Based Construction Products

    SBC: KARAGOZIAN & CASE, INC.            Topic: A21CT020

    As bio-based composites see increased use in protective design more robust material data sets and alternative analysis tools are needed.  Improved material characterization and the capability to evaluate close-in effects will enable engineers to evaluate a broader set of design configurations and loading conditions.  Three technical objectives are proposed: comprehensively characterize the balli ...

    STTR Phase II 2023 Department of DefenseArmy
  7. intelligent Frequency Modulated Continuous Wave (iFMCW)

    SBC: AVNIK DEFENSE SOLUTIONS INC            Topic: A21CT013

    Technical Abstract: Operational availability, reliability, and performance of Army weapons systems platforms are key factors in achieving mission success.  Army maintainers and depot artisans have a requirement for an intelligent toolset to quickly detect, locate, characterize/classify, and predict wire and connector faults in interconnect cables.  AVNIK Defense Solutions, Inc. (AVNIK) has condu ...

    STTR Phase II 2023 Department of DefenseArmy
  8. Non Flammable Li Ion Cell for Military Application

    SBC: AMERICAN LITHIUM ENERGY CORP.            Topic: A19BT016

    The proposed work, a joint effort by both American Lithium Energy (ALE) and Pacific Northwest National Laboratory (PNNL), employs a comprehensive strategy to achieve non-flammability in the event of various kinds of abuse. The enhancement of the electrolyte thermal stability through development of non-flammable electrolytes by PNNL aims to eliminate the fuel. ALE’s SafeCore safety technology int ...

    STTR Phase II 2022 Department of DefenseArmy
  9. mm Wave MIMO Neuro-Adaptive Radar (mMINAR)

    SBC: TOYON RESEARCH CORPORATION            Topic: A21CT009

    Toyon Research Corporation in collaboration with Duke University is proposing to leverage our successful Phase I analysis, preliminary radar design, simulation, algorithm development and experimentation, to demonstrate a compact, high resolution MIMO radar operating in Ka-band for small unmanned system detection, classification and tracking. Our proposed system is capable of detecting -20dBsm aeri ...

    STTR Phase II 2023 Department of DefenseArmy
  10. Meta-optic Image Differentiation for High-speed Target Recognition

    SBC: CFD RESEARCH CORPORATION            Topic: A21CT014

    Fast and accurate object detection in the mid-wave infrared (MWIR) is critical for many DoD platforms including missile systems. Current object detection algorithms generally employ computationally heavy frontends to perform edge filtering tasks for keypoint identification and blob detection. Offloading the edge filtering tasks to optical components, which perform image differentiation or edge det ...

    STTR Phase II 2023 Department of DefenseArmy
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