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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. Algorithms for Look-down Infrared Target Exploitation

    SBC: SIGNATURE RESEARCH, INC.            Topic: 1

    Signature Research, Inc. (SGR) and Michigan Technological University (MTU) propose a Phase I STTR effort to develop a learning algorithm which exploits the spatio-spectral characteristics inherent within IR imagery and motion imagery.Our archive of modelled and labeled data sets will allow our team to thoroughly capture the variable elements that will drive machine learning performance.The overall ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  2. Axisymmetric and Focusing Analyzers to Enable Efficient Powder and Residual Stress Neutron Diffractometers

    SBC: ADELPHI TECHNOLOGY INC            Topic: 12a

    Although thermal and cold neutron scattering is widely used, and is critical for success in many areas of materials science and engineering, relatively low neutron fluxes severely limit applications of not only laboratory neutrons generators, but also large national neutron facilities. State-of-the-art thermal and cold neutron sources are large expensive national facilities, which serve diverse co ...

    STTR Phase I 2018 Department of Energy
  3. Development of a breeding system in Chlamydomonas moewusii for improved production strains

    SBC: GLOBAL ALGAE INNOVATIONS, INC.            Topic: 08c

    For economically viable large-scale production of microalgae based food and biofuel to become a reality, significant improvements in algal productivity need to be achieved. With current regulatory guidelines, large scale outdoor cultivation of microalgae for these products restricts the use of transgenic algal strains, which in the laboratory, have thus far been the primary strategy taken to effec ...

    STTR Phase I 2018 Department of Energy
  4. 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
  5. 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
  6. 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
  7. 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
  8. Novel Sulfonated Block Copolymers for Efficient Electrochemical Hydrogen Compression

    SBC: Sustainable Innovations, LLC            Topic: 17d

    According to a report by the Hydrogen Council, a global lobby set up in January 2017 by Toyota and Air Liquide that includes 27 members such as automakers Audi, BMW, Daimler, Honda and Hyundai, and energy firms Shell and Total, increasing the use of hydrogen in power, transport, heat and industry could deliver around one fifth of the total carbon emissions cuts needed to limit global warming to sa ...

    STTR Phase I 2018 Department of Energy
  9. Plasma Catalyst Coupling for Improved Conversion of Methane to Liquids

    SBC: HIFUNDA LLC            Topic: 22c

    The discovery of large shale gas reserves in recent years has resulted in the reduction of natural gas price and a need to develop new applications for the available resource. Upgrading shale gas to liquid fuels which are more easily transportable and have greater economic value can result in significant benefits to the US. Coupled with this challenging problem the DOE has a goal of further develo ...

    STTR Phase I 2018 Department of Energy
  10. Predictive Analytics-Based US Inland Waterways Voyage Planning Analysis Tool (VSAT)

    SBC: Trabus            Topic: 01a

    Trabus Technologies (TRABUS), working with Louisiana State University (LSU), will develop a predictive analytics-based US Inland Waterways Voyage Planning Analysis tool to help vessel traffic managers, tow boat pilots, and river lock operators maximize transport logistic resources. This tool will use current and forecasted hydrographic, meteorological, lock status, and Marine Safety Information to ...

    STTR Phase I 2018 Department of Energy
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