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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 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
  2. 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
  3. 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
  4. High Power Ceramic Disk Lasers with Gradient Doping Made by Direct Ink Writing

    SBC: RADIATION MONITORING DEVICES, INC.            Topic: 25c

    The power output of the high power lasers used in physics research is limited by the materials available for making the gain media in the laser. Future increases in power will require new and better materials. Operation at high power creates great thermal stresses that can lead to effects such as birefringence, thermal lensing or even physical fracture damage to the host itself. Effective cooling ...

    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. Biologically Inspired Ammonia Production with Immobilized Nitrogenase

    SBC: Fulcrum Bioscience, LLC            Topic: 08c

    Ammonia is a critical component of the US economy as US agricultural exports exceeded $100BB in 2015 and depend heavily on ammonia fertilizers. Ammonia production consumes 1% of the world’s total energy supply and millions of tons are imported each year. An innovative bioelectrocatalyzed process is being developed using immobilized mutated nitrogenase enzymes to directly convert atmospheric ni ...

    STTR Phase II 2018 Department of Energy
  7. Robust Molecular Predictive Methods for Novel Polymer Discovery and Applications

    SBC: Sheeta Global Tech Corp.            Topic: 08b

    This Small Business Technology Transfer (STTR) program aims at development and demonstration of an integrated theoretically/experimentally combinatorial method for the accurate prediction of rheological behaviors of special polymer solutions. In-depth understandings of dynamic responses of the polymer solutions under external shear are essential for development of the “smart” polymer-based add ...

    STTR Phase II 2018 Department of Energy
  8. A Subcritical Testbed for Fast Neutron Irradiation of Novel Fuels and Cladding in Fast Reactors

    SBC: Niowave, Inc.            Topic: 29j

    Recently, the Generation IV International Forum has established a set of nuclear reactors (advanced nuclear reactors), with main objectives to improve overall reactor safety, efficiency, sustainability, and proliferation resistance for economically viable nuclear energy. These advanced reactor technologies rely on novel fuels and materials that are resistant to radiation damage and corrosive envir ...

    STTR Phase II 2018 Department of Energy
  9. 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
  10. 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
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