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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. Terrestrial-aquatic isotope sensor for in-situ field measurements

    SBC: OPTO-KNOWLEDGE SYSTEMS INC            Topic: 29aq

    Ecological and biogeochemical processes occurring along coastal interfaces are poorly understood on a mechanistic level and critically underrepresented in current models, impeding our ability to make informed resource management decisions. Stable isotope ratio measurements, e.g., 13C/12C, can provide detail about pathways and sources by adding specificity and attribution information that concentra ...

    STTR Phase I 2021 Department of Energy
  2. 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
  3. Realtime Neuromorphic Cyber-Agents (Cyber-NeuroRT)

    SBC: QUANTUM VENTURA INC            Topic: 03a

    Cybersecurity in HPC environments operates at much larger scales than traditional IT domains and the traditional Machine learning networks are not fast enough to handle large volumes of computations. Neural networks combined with Edge-based hardware-resident next-generation technologies such as neuromorphic processors can monitor and even predict events in high throughput environments and hence pr ...

    STTR Phase I 2021 Department of Energy
  4. A Novel Low-Cost, Miniaturized Hydrogen Sensor with High Robustness and Reliability for Continuous Hydrogen Monitoring

    SBC: 4D MAKER, LLC            Topic: 27b

    Hydrogen has been widely used in many applications from aerospace and chemicals to fuel cells and satellite power supply. Although hydrogen is not toxic, it has a very broad flammability range (4%-74% concentration in air and 4%-94% in oxygen), leading to explosion in the presence of heat source. Thus, hydrogen monitoring is of paramount importance during the processes of hydrogen production, tran ...

    STTR Phase I 2021 Department of Energy
  5. Quantum All-Optical Transponder (QOAT)

    SBC: FREEDOM PHOTONICS LLC            Topic: 06a

    Quantum networks will be tasked with entangling physically separated quantum nodes and facilitating secure communication between distant parties. This necessitates the development of devices that can support high data rate transparent optical quantum networks that coexist with classical networks on a shared optical fiber transmission system. Freedom Photonics will develop a Quantum All-Optical Tra ...

    STTR Phase I 2021 Department of Energy
  6. Novel isotope sensor for spatially-resolved analysis of nutrient exchange in the rhizosphere Topic: 22.a. Technologies for Characterizing the Rhizosphere: Plant-Microbe-Mineral Interactions

    SBC: OPTO-KNOWLEDGE SYSTEMS INC            Topic: 22a

    Ensuring adequate agricultural productivity in the face of an increasing human population is a major concern with implications for both production of bioenergy products (Jones and Hinsinger, 2008) and global food security. Increasing agricultural productivity requires a stronger understanding of soil biogeochemical processes that impact plant nutrient availability. We propose development of an inn ...

    STTR Phase I 2018 Department of Energy
  7. User Location-Specific Data for Smarter Smart Grids

    SBC: ERIK PAGE & ASSOCIATES, INC.            Topic: 06b

    Society at large and DOE in particular have an interest in the continued development and refinement of a smart grid infrastructure that more efficiently and reliably matches electrical resources to demands. While technological advances in recent years have improved the smart grid, these advances have been limited by a lack of granularity of data (e.g. environmental conditions at multiple locations ...

    STTR Phase I 2018 Department of Energy
  8. Integrated Development of CMB-S4 Low-Pass Filters Using a Scalable Proprietary Ablation Process

    SBC: NIELSON SCIENTIFIC LLC            Topic: 37f

    Metal mesh filters are used to control the transmission of infrared through terahertz radiation in a variety of systems including sensors, cameras, and high-performance telescopes. Currently, high-performance metal mesh infrared filters are fabricated using photolithography but this is a costly and time consuming process and it is limited to filter diameters of 300 mm or less (the largest size tha ...

    STTR Phase I 2021 Department of Energy
  9. Wrap-able, Radiation-Resistant Electrical Insulators for Superconducting Magnet Applications

    SBC: INNOSENSE CORPORATION            Topic: 29a

    The Department of Energy Office of Fusion Energy Sciences is seeking the development of wrap-able radiation-resistant electrical insulators for superconducting magnet coils used in fusion energy reactor systems. These insulators must: (1) exhibit low gas generation under irradiation, (2) have higher pot life, and (3) exhibit attributes of insulation systems with high bond and higher strength and f ...

    STTR Phase I 2021 Department of Energy
  10. 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
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