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Award Data

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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. A microfluidic ice nucleating particle counter for continuous measurements from small aerial platforms

    SBC: Handix Scientific Inc.            Topic: 23a

    Quantifying atmospheric aerosol, clouds and precipitation processes are critical needs for understanding and interpreting Earth’s changing energy budget, is a DOE objective, and is of broader benefit to the public. Specifically, the formation of ice in the atmosphere depends on the nature and abundance of ice nucleating particles, and has major implications for precipitation and cloud interactio ...

    STTR Phase I 2018 Department of Energy
  2. Low-cost, time-resolved chemical characterization of atmospheric aerosols

    SBC: AEROSOL DEVICES INC            Topic: 23b

    Currently the chemical composition of atmospheric particulate matter is measured either by off-line analyses of time-integrated filter samples, or by in-situ instruments requiring near-constant operator oversight. These measurement approaches result in sparse or limited data coverage. Despite the critical role of composition on the health and environmental impacts of particulate matter, there exis ...

    STTR Phase I 2018 Department of Energy
  3. Oxygen Production and Delivery on Demand

    SBC: GLOBAL RESEARCH & DEVELOPMENT INC            Topic: DHA17B005

    This proposal is in response to the Defense Health Agency 2017 Phase I SBIR topic 17B-005.The approach is the use of a membrane oxygen pump using newly developed nano-thickness membranes with all the layers less than 1 micron total.Nanometer thickness membranes enable more oxygen output per surface area at temperatures of 300-600 C than current state-of-the -art 600-800 C membranes that are 50-300 ...

    STTR Phase I 2018 Department of DefenseDefense Health Agency
  4. Atomically Precise Membranes for the Separation of Hydrocarbons

    SBC: MAINSTREAM ENGINEERING CORP            Topic: 02a

    Separations often account for a majority of process costs. This is because all traditional separation processes have inherent weaknesses that prevent the system from achieving perfect (or even near perfect in many instances) selectivity. These weaknesses result in large recycle streams and require multiple separation units in concert in order to produce a product clean enough for use or sale. An a ...

    STTR Phase II 2018 Department of Energy
  5. Low Cost HEA Anode for Distributed Reforming and Prevention of Carbon Deposition in SOFC(18-RD-987)

    SBC: UES SERVICES INC            Topic: 17b

    Direct Internal Reforming Solid Oxide Fuel Cells require an anode material with good catalytic reforming and electrochemical reactivity. Although the current state-of-the-art solid oxide fuel cell anode consisting of nickel and yttrium-stabilized zirconia (Ni-YSZ) has excellent catalytic properties and stability for the H2 oxidation at the usual operation conditions, the use of Ni-YSZ anode with c ...

    STTR Phase II 2018 Department of Energy
  6. Fidelity Enhancement of Nuclear Power Plant Simulators Utilizing High Fidelity Simulation Predictions

    SBC: WESTERN SERVICES CORPORATION            Topic: 30c

    Accurate simulation of nuclear power plant behavior is necessary for both engineering and training applications. An engineering grade simulator, used for design, safety analysis and operations, is characterized by high fidelity, computational power, lack of real-time capability, and user non-interactive environment. By contrast, a training grade simulator, used for operator training and education, ...

    STTR Phase I 2018 Department of Energy
  7. Additive Manufacturing of Scalable 3D Resonators

    SBC: GLOBAL RESEARCH & DEVELOPMENT INC            Topic: 29b

    This proposal is submitted in response to the SBIR/STTR Office of Science related to Quantum Information Science (QIS) Supporting Technologies. There is the need for fabrication techniques for scalable 3D Superconducting Radio Frequency (SRF) Structures for Quantum Information Systems. In this proposal we will develop an additive manufacturing approach to developing superconducting 3D microwave re ...

    STTR Phase I 2018 Department of Energy
  8. Variable Flux Machines for Hybrid Electric Vehicles

    SBC: ASYMMETRIC TECHNOLOGIES, LLC            Topic: 13b

    The majority of hybrid electric vehicles and electric vehicles (HEV/EV) products use interior permanent magnet (IPM) synchronous machines for traction purpose due to the efficiency and power density consideration. IPM machines use high energy density rare earth based magnet materials such as neodymium and dysprosium. Variable flux (VF) machines using abundant and cheaper soft magnets such as AlNiC ...

    STTR Phase I 2018 Department of Energy
  9. Low-cost and Flexible Transparent Electrodes Based on Ag–ZTOF (Zn–Sn–O–F) Amorphous Composites Through Ink-jet Printing

    SBC: HAZEN RESEARCH, INC.            Topic: 09b

    Sn-doped In2O3 (ITO) is the industry standard and most widely used transparent conducting electrode (TCE) because of its good electrical and optical properties. However, ITO has a number of disadvantages: ITO is not a suitable TCE for next-generation, high-efficiency, flexible OLEDs, because of its inappropriate work function, difficulty in creating desired patterns, low stability, delaminantion d ...

    STTR Phase I 2018 Department of Energy
  10. Nanoparticle Catalytic Discovery using Machine Learning Models with Chemisorption Inputs

    SBC: BIENA TECH LLC            Topic: 06a

    The mechanisms guiding nanocatalysis are poorly understood and extremely hard to model. Proposed effort attempts to provide a machine learning based platform that would guide the design of nanocatalytic materials for a variety of applications, beginning with the use of case of chloro-organic contaminant remediation. The current approaches either use conventional molecular dynamics coupled with ab ...

    STTR Phase I 2018 Department of Energy
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