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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. High-Accuracy Angle Generator For Angular Calibrations To Support Optical Metrology Laboratories and Light Source Facilities.

    SBC: VERMONT PHOTONICS TECHNOLOGIES CORP.            Topic: 12a

    Improving our current ability to measure the shape of x-ray focusing mirrors is necessary to advance our knowledge of the atomic structure of many types of materials, especially for the latest diffraction-limited light sources within the DOE. X-ray studies at DOE national laboratories of the atomic structure of new materials, biological molecules, etc. are limited by the quality of the x-ray spot ...

    SBIR Phase I 2019 Department of Energy
  2. X-DSMSND: A Dual-Sided Microstructured Semiconductor Neutron Detector with Integrated Pixel Read-Out

    SBC: RADIATION DETECTION TECHNOLOGIES, INC.            Topic: 17b

    There is a need for compact, high-efficiency, and high spacial-resolution neutron scattering imagers. Improvements in neutron detectors for use at high-flux pulsed neutron sources are required for materials research involving neutron scattering experiments conducted at Department of Energy (DOE) laboratories, including single crystal diffractometers, neutron reflectometers, and time of flight (TOF ...

    STTR Phase I 2019 Department of Energy
  3. A Mesh Free Framework for Mechanical Simulations of Microstructure Data Files

    SBC: CFD RESEARCH CORPORATION            Topic: 07a

    The Exascale Computing Project is tasked to develop the next generation of high performance computing systems capable of computing at 50 to 100 times faster than current HPC systems. Computing at this extreme-scale will significantly enhance the value of materials modeling and simulation to basic materials research and engineering In particular, computing at the extreme scale will enable a higher ...

    STTR Phase I 2019 Department of Energy
  4. A Multi-physics Analysis Capability for Engine Materials

    SBC: Sunergolab Inc.            Topic: 03b

    Computer-aided Engineering software that apply the Finite Element Method to perform a multi-physics analysis have received widespread acceptance for traditional macro-scale material systems. Challenges persist in the modeling of complex coupled processes in environmental/thermal barrier coatings (E/TBCs) used to protect substrate material against the corrosive environment in the hot section parts ...

    STTR Phase I 2019 Department of Energy
  5. Commercialization of the Rapid-Production Growth Method for Affordable Cadmium Zinc Telluride (CZT) Semiconductor

    SBC: RADIATION DETECTION TECHNOLOGIES, INC.            Topic: 04d

    Reduction of the reliance of high-activity commercial and industrial radioactive sources is a nonproliferation goal. The Office of Proliferation Detection is interested in developing replacements for radiological sources to promote the adoption of non-radioisotopic alternative technologies where technically, operationally, and economically feasible. The goal of the DOE in reduction of the reliance ...

    SBIR Phase I 2019 Department of Energy
  6. Ensuring Data Integrity at the Source

    SBC: CYBITRON LLC            Topic: 05a

    Electric grids are quickly evolving with advanced monitoring and information management as well as communication through connected devices. Although the number of devices and sensors coming online is increasing exponentially, the same vulnerabilities remain in data integrity at the source and during transport. The overall objectives of this proposal is to design a system to improve grid reliabilit ...

    SBIR Phase I 2019 Department of Energy
  7. Discontinuous low-cost carbon fiber/bamboo fiber hybrid intermediates for lightweighting Vehicle Applications

    SBC: Resource Fiber LLC            Topic: 13f

    Carbon fiber is fast replacing metal in products used in auto vehicles, aerospace, defense, sports, wind turbines, and other industries primarily due to its strength to lightweight. However, carbon fiber is expensive, energy intensive, brittle, and wasteful. Creating a hybrid bamboo/carbon fiber material should reduce cost, weight, energy use, and waste, while improving reformability, recyclabilit ...

    SBIR Phase I 2019 Department of Energy
  8. GPU-enhanced HPC Design and Optimization Platform for NaNoOptical Components

    SBC: IERUS TECHNOLOGIES INC            Topic: 08a

    There is a fundamental need for a high-performance computing approach to computational electromagnetics modeling tools suitable for designing and optimizing high-end nanostructures and photonics devices. Complex geometries and material responses to incident electromagnetic fields require a significant level of computational resources, especially when realistic manufacturing tolerances are incorpor ...

    SBIR Phase II 2019 Department of Energy
  9. Counter UAS Detection and Discrimination (CU D&D)

    SBC: POLARIS SENSOR TECHNOLOGIES INC            Topic: AF182003

    Countering Unmanned Aerial Systems (C-UAS) is an ever-increasing challenge due to the variety of threat UAS airframes, materials, propulsion types, and control systems. Further, the control systems in particular are continually evolving which complicates detection, identification, and tracking. A robust and reliable means of completing these steps in the kill chain is required. Even significant te ...

    SBIR Phase I 2019 Department of DefenseAir Force
  10. Machine Learning for Defense Applications

    SBC: POLARIS SENSOR TECHNOLOGIES INC            Topic: AF183002

    Polaris Sensor Technologies, Inc., presents a program plan (focused on the Phase 1 effort) to address the penultimate goal of “coloring the good guys blue and the bad guys red� using multi-mode aerial imagery of ground targets in the visible and thermal IR coupled with the most advanced Continuous Machine Learning (CML) approaches, techniques, and architectures. CML has many computati ...

    SBIR Phase I 2019 Department of DefenseAir Force
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