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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. Hardened, Optically-Based Temperature Characterization of Detonation Environments

    SBC: SA PHOTONICS, LLC            Topic: DTRA19B001

    Improving the effectiveness of counter-WMD operations requires improved understanding of weapon-target interaction. Specifically, time-resolved measurements of temperature and composition are required to allow temporal evolution of a detonation fireball. To address this need, SA Photonics will develop MONITOR, a laser-based temperature diagnostic which will enable wide dynamic range temperature me ...

    STTR Phase II 2022 Department of DefenseDefense Threat Reduction Agency
  2. SAR AI Training dataset generated using Reification

    SBC: Arete Associates            Topic: DTRA21B001

    The Synthetic Aperture Radar (SAR) Image Generation Data Augmentation (SIGDA) system is achieved using SAR simulators and the Arete’s Reification approach. Large, realistic datasets will be generated using the Arete Reification capability. These large Reified datasets are then used to train machine learning or Artificial Intelligence (AI), Automatic Target Recognition (ATR) classification algori ...

    STTR Phase I 2022 Department of DefenseDefense Threat Reduction Agency
  3. Numerics-Informed Neural Networks (NINNs)

    SBC: KARAGOZIAN & CASE, INC.            Topic: DTRA21B002

    The overall goal is to develop numerics-informed neural networks (NINNs) and DeepOnets for chemical reactions and for PDEs with spatial derivatives improve the computational efficiency of the chemical kinetics models for chemical weapon agents and simulants. Based on the first NINN developed by the Karniadakis’s group in 2018, which blends the multi-step time-stepping with deep neural networks, ...

    STTR Phase I 2022 Department of DefenseDefense Threat Reduction Agency
  4. Compact Laser Drivers for Photoconductive Semiconductor Switches- STTR Phase II Sequential

    SBC: SCIENTIFIC APPLICATIONS & RESEARCH ASSOCIATES, INC.            Topic: DTRA16A004

    For effective protection against radiated threats, produced by high altitude electromagnetic pulse (HEMP) caused by nuclear detonations and high-power microwave (HPM) Directed Energy (DE) weapons it is important to understand not only the physics of the threats, but also to quantify the effects on mission-critical electrical systems. EMP/HMP simulators enable threat level testing of MCS and provid ...

    STTR Phase II 2022 Department of DefenseDefense Threat Reduction Agency
  5. 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
  6. 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
  7. 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
  8. Computer Vision Image Interpretation for 3D Model Reconstruction

    SBC: TOYON RESEARCH CORPORATION            Topic: DTRA18B001

    Toyon Research Corporation (Toyon) and the University of California, Santa Barbara (UCSB) propose research, development, and demonstration of algorithms and an efficient software prototype for 3D model reconstruction using single images collected via remote sensing. In particular, the effort is focused on processing of high-resolution commercial satellite images for 3D reconstruction of buildings. ...

    STTR Phase II 2021 Department of DefenseDefense Threat Reduction Agency
  9. Integrated Circuits

    SBC: NU-TREK, INC.            Topic: DTRA20B002

    The Nu-Trek team is proposing to develop µDet, a low Size, Weight, and Power (SWaP) read out integrated circuit (IC) for gamma and neuron detectors. µDet offers pulse shape digitization, which in turn enables gamma-neutron discrimination. This is a game changing capability that brings laboratory-level functionality to the field. In Phase I the Nu-Trek Team will develop a baseline design for the ...

    STTR Phase I 2021 Department of DefenseDefense Threat Reduction Agency
  10. Hardened, Optically-Based Temperature Characterization of Detonation Environments

    SBC: SA PHOTONICS, LLC            Topic: DTRA19B001

    Improving the effectiveness of counter-WMD operations requires improved understanding of weapon-target interaction. Specifically, time-resolved measurements of temperature and composition are required to allow temporal evolution of a detonation fireball. To address this need, SA Photonics will develop MONITOR, a laser-based temperature diagnostic that will enable wide dynamic range temperature mea ...

    STTR Phase I 2020 Department of DefenseDefense Threat Reduction Agency
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