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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. Development of a superconducting RF flipper

    SBC: ADELPHI TECHNOLOGY INC            Topic: 08a

    A recent report by the Basic Energy Sciences Advisory Committee entitled “Challenges at the Frontiers of Matter and Energy” pointed to the need to better understand hierarchical and heterogeneous materials, often at the mesoscopic scale. Such structures can be studied by x-ray and neutron scattering techniques, but they do not generally yield narrow signals in momentum or energy space. The nat ...

    STTR Phase II 2018 Department of Energy
  2. High temporal and spatial resolution measurement of hydrometeor mass for automated assessment of precipitation rate and type

    SBC: PARTICLE FLUX ANALYTICS INC            Topic: 07a

    The Particle Flux Analytics Inc. (PFA) Multi Angle Snowake Camera (MASC) has been operating at the DOE Atmospheric Radiation Measurement Oliktok Point site since 2015, providing the Atmospheric Radiation Measurement program community with unprecedented information about hydrometeor shape, size, and fallspeed. However, no technology currently exists for completing the critically needed suite of dat ...

    STTR Phase II 2018 Department of Energy
  3. Single-shot Picosecond Temporal Resolution Transmission Electron Microscopy

    SBC: RADIABEAM TECHNOLOGIES, LLC            Topic: 24a

    Transmission electron microscopy (TEM) is one of the primary tools for biological and materials characterization; however, there is an overarching need to push TEM temporal resolution into a ps-range to study physical processes on their fundamental spatial and temporal scales. With state-of-the-art TEM, however, it is not possible to capture a single image with a temporal resolution better than 10 ...

    STTR Phase II 2018 Department of Energy
  4. Leveraging the Uintah Computational Framework for Commercial Simulation of Industrial Flares

    SBC: REACTION ENGINEERING INTERNATIONAL            Topic: 17b

    Advanced modeling and simulation software, such as the Uintah Computational Framework (Uintah), has been developed in the US, through significant funding by the Department of Energy Office of Advanced Scientific Computing, but has been underutilized by US industry. We will leverage Uintah for commercial simulation of industrial flares on publicly available HPC facilities, and we will further devel ...

    STTR Phase II 2018 Department of Energy
  5. SBIR/STTR Commercialization Assistance- Ease of use and deployment for a fast, scalable data movement infrastructure

    SBC: VISUS LLC            Topic: 02b

    In recent decades, High Performance Computing (HPC) has risen as one of the key enablers of innovation in science and engineering. However, complexity and cost of deploying applications impedes industrial adoption. Problems include the quality, speed, and flexibility of software tools and the specialized expertise required to adapt solutions given the profusion of hardware configurations. Efficien ...

    STTR Phase II 2018 Department of Energy
  6. Low Cost Alloys for Magnetocaloric Refrigeration

    SBC: GENERAL ENGINEERING & RESEARCH, L.L.C.            Topic: 12b

    Replacement of petroleum based vehicles with fuel cell electric vehicles operating on hydrogen produced from domestically available resources would dramatically decrease emissions of greenhouse gases and other pollutants as well as reduce dependence on oil from politically volatile regions of the world. One major inhibitor to a hydrogen society is the lack of infrastructure, which requires hydroge ...

    STTR Phase II 2017 Department of Energy
  7. Optical fiber integration into Bi2Sr2CaCu2Ox/Ag/AgX and (RE)Ba2Cu3Ox superconducting coils

    SBC: Lupine Materials and Technology, Inc.            Topic: 27f

    High-temperature superconductors (HTS) are a vital technology for future particle accelerators, motors, generators and other electric power systems, fusion reactors, and many other medical and defense applications requiring high magnetic fields. One remaining limiting factor limiting to the implementation of HTS systems is the lack of adequate sensors to monitor the temperature and strain states o ...

    STTR Phase II 2017 Department of Energy
  8. Hydrothermal Liquefaction of Brown Grease from Wastewater Treatment Plants to Biodiesel using Supercritical Fluids.

    SBC: CF TECHNOLOGIES, INC            Topic: 10b

    The Department of Energy has a mission to ensure America's prosperity and security by addressing energy and environmental challenges. This Phase II project develops and demonstrates the domestic, economic and environmentally responsible production of biodiesel fuel from brown grease, a waste that is currently a burden disposed in landfills or incinerated. The conversion of "brown grease" from dome ...

    STTR Phase II 2017 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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