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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 Ligand-Associated Solid-Liquid Extraction Media System for Separation of High Purity Individual Rare Earth Elements from Coal-based Resources

    SBC: GLYCOSURF, INC.            Topic: 24a

    Commercial sources of rare earth elements include bastnaesite (La, Ce)FCO3, monazite, (Ce, La, Y, Th)PO4, and xenotime, YPO4. However, the processing of these materials to extract and recover the rare earth elements is challenging and very process intensive. However, there are numerous domestic sources of rare earth elements, from waste materials such as coal fly ash, which could be extracted bene ...

    STTR Phase I 2021 Department of Energy
  2. Development of Wakefield Accelerating Structures at Ultra-high Frequencies

    SBC: RADIABEAM TECHNOLOGIES, LLC            Topic: 30c

    The development of a multi-TeV e+e- linear collider is a key priority set by the P5 panel, which established the long-term strategy of the U.S. HEP program. A Two-Beam Acceleration (TBA) is one of the most promising approaches for this facility due to its potential for achieving high efficiency and the ability to accelerate particles with positive and negative charges. However, there are still cha ...

    STTR Phase I 2020 Department of Energy
  3. Distributed Bimodular Sensors for Onboard Diagnostics of Automotive Aftertreatment Devices

    SBC: 3D ARRAY TECHNOLOGY LLC            Topic: 17d

    The monitoring of gaseous exhaust (e,g., NOx, NH3) and particulate matters (PMs) has been critical in the automotive diesel engine combustion emission control, for which various catalytic converters need be operated efficiently and environment-friendly, including diesel oxidation catalysts (DOC), diesel particulate filters (DPF), and selective catalytic reduction (SCR). For instance, in the DPF, t ...

    STTR Phase I 2021 Department of Energy
  4. Distributed, Real-Time Fiber-Optic Sensing System for Superconducting Magnets

    SBC: INTELLIGENT FIBER OPTIC SYSTEMS CORP            Topic: 29a

    Fiber optic-based sensing devices and systems allow for electromagnetic interference-immune interrogation of temperature and strain distribution within the cryomodule coil winding pack of superconducting magnets. A specific use of fiber sensors is for rapid and redundant quench detection. Novel fiber-optic sensors may also be used for precision measurement of distributed and local temperature and/ ...

    STTR Phase I 2021 Department of Energy
  5. Domestication of the microalga Scenedesmus obliquus for biomass feedstock production

    SBC: MICROBIO ENGINEERING INC            Topic: 08c

    To advance a strong and economical biofuels and bioproducts industry, tools are needed for breeding microalgae to improve phenotypes of commercial interest, including biomass yield, culture stability, harvestability, and accumulation of valuable compounds. This project aims to increase biomass feedstock yields by the phototrophic green alga Scenedesmus obliquus by using classical breeding approach ...

    STTR Phase I 2018 Department of Energy
  6. Domestic Halloysite-Derived Silicon as a Low-Cost High-Performance Anode Material for Li-Ion Batteries

    SBC: APPLIED MINERALS INC            Topic: 17a

    To meet performance and cost targets for electric vehicles, substantial improvement is still required in lithium-ion batteries. A low-cost, high-capacity silicon anode will greatly aid in this effort, but current methods for generating functional nano-silicon for anodes use expensive metallurgical, templating, gaseous, or other top-down engineering processes. This project proposes to use the natur ...

    STTR Phase I 2021 Department of Energy
  7. Fast, Low Kerf-loss Wafering of Silicon Ingots for Low-cost Solar Power

    SBC: NIELSON SCIENTIFIC LLC            Topic: 11b

    Silicon wafers are the single largest cost component within solar photovoltaic modules. To maintain the cost reduction targets outlined in industrial roadmaps, wafer costs need to be significantly reduced. Reducing the cost of wafers requires reducing the kerf-loss and wafer thickness while increasing throughput in tools for processing silicon ingots into wafers. The proposed technology augments t ...

    STTR Phase I 2020 Department of Energy
  8. High Quantum Efficiency Uni-Traveling-Carrier Photodiode for Optical to Microwave Transduction

    SBC: FREEDOM PHOTONICS LLC            Topic: 29d

    Modern quantum information systems employ optical photons for long distance communication, operating at ambient temperature, between microwave cavities, which house microwave photons used in quantum computing and microwave detection. These optical photons, carried by fiber-optic or free-space links, offer a low-cost, uncooled alternative to bulky, expensive microwave coaxial cables, which are loss ...

    STTR Phase I 2018 Department of Energy
  9. High Temperature Electron Beam Additive Manufacturing of Tungsten Plasma Facing Components with Integrated Porous Armor

    SBC: RADIABEAM TECHNOLOGIES, LLC            Topic: 28a

    Controlled thermonuclear fusion promises to radically transform our society, providing nearly limitless renewal energy. Cost-competitive fusion requires plasma facing components (PFC) which can sustain extreme photon and energetic particle fluxes over a lifetime of years, as these components will dictate the maintenance and overhaul periods of future reactors. Robust, scalable PFCs manufacturing m ...

    STTR Phase I 2021 Department of Energy
  10. Hybrid DNN-based Transfer Learning and CNN-based Supervised Learning for Object Recognition in Multi-modal Infrared Imagery

    SBC: TOYON RESEARCH CORPORATION            Topic: 1

    On this effort Toyon Research Corp. and The Pennsylvania State University are developing deep learning-based algorithms for object recognition and new class discovery in look-down infrared (IR) imagery. Our approach involves the development of a hybrid classifier that exploits both transfer learning and semi-supervised paradigms in order to maintain good generalization accuracy, especially when li ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
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