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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. Advanced Fast Shutter for Debris Mitigation

    SBC: HYPERION TECHNOLOGY GROUP INC            Topic: DTRA143007

    In an effort to development more robust optical system coatings DTRA, in collaboration with Sandia National Labs, is working to characterize the degradation of optical materials for space systems when exposed to high intensely EUV/ cold x-rays. The experiments utilizes the Double Eagle z-pinch facility which generates high current, high voltage arc pinch plasma to produce an intense EUV and cold x ...

    SBIR Phase II 2017 Department of DefenseDefense Threat Reduction Agency
  2. High Performance Computing (HPC) Application Performance Prediction & Profiling Tools

    SBC: EP ANALYTICS, INC..            Topic: DTRA152003

    EP Analytics Inc. will develop and commercialize a suite of easy-to-use performance profiling and prediction tools for characterizing the performance and energy efficiency of High Fidelity computer codes. DTRA uses High Fidelity codes to investigate weapon effects phenomenology and techniques for countering Weapons of Mass Destruction (WMD). End-to-end High Fidelity simulations in support of the D ...

    SBIR Phase II 2017 Department of DefenseDefense Threat Reduction Agency
  3. Novel Munition Technologies to Attack and Defeat Weapons of Mass Destruction (WMD)

    SBC: HYPERION TECHNOLOGY GROUP INC            Topic: DTRA143004

    Traditional weapon systems often fail to meet the requirements of close combat typical of the previously discussed engagement, where insurgents often blend in or store weapon amongst friendly or non-combatant forces, to shield them from precision strike munitions of a technologically superior force. This type of warfare has led to an increased focus on the use of less-lethal weapons, to reduce let ...

    SBIR Phase II 2017 Department of DefenseDefense Threat Reduction Agency
  4. Bioinformatics: Data Integration for Biomonitoring Applications

    SBC: Arete Associates            Topic: DTRA162002

    Aret Associates and Oak Ridge National Laboratory (ORNL) propose an interdisciplinary effort to meet the challenges of developing a soil microbiome-based nuclear activity biomonitoring application. Our approach combines Arets expertise in decision theory and bioinformatics with ORNLs subject matter expertise in microbial ecology and contaminant signatures. We will adapt and extend our high featu ...

    SBIR Phase I 2017 Department of DefenseDefense Threat Reduction Agency
  5. Compact Laser Drivers for Photoconductive Semiconductor Switches (16-RD-863)

    SBC: UES INC            Topic: DTRA16A004

    Compact Electromagnetic Pulse Module (EMP) capable of being arranged in series-parallel planar or cylindrical arrays is needed to simulate nuclear weapon effects. High gain optically triggered photoconductive semiconductor switches (PCSS) based on Gallium arsenide (GaAs) with low timing jitter enables the development of planar or phased arrays of modular EMP or High Power Microwave (HPM) sources. ...

    STTR Phase I 2017 Department of DefenseDefense Threat Reduction Agency
  6. Machine learning for standoff detection of Special Nuclear Material (SNM)

    SBC: CLOSTRA INC            Topic: DTRA162001

    "Deep Learning for standoff detection of Special Nuclear Material (DLeN) applies the same deep learning techniques that allow computers to beat human performance in image recognition and the game of Go to detecting Special Nuclear Material. Spectral analysis and signal processing can in some cases be augmented by the use of much larger neural nets that conduct much deeper analysis of features of t ...

    SBIR Phase I 2017 Department of DefenseDefense Threat Reduction Agency
  7. Advanced Solutions for Radiation Susceptibility Analysis & Prediction

    SBC: LUCID CIRCUIT, INC.            Topic: DTRA162006

    With the advent of high-density low-power sub-20nm technology processes and circuits with tens-of-billions of transistors, radiation-induced single-event effects present a new set of design challenges for terrestrial applications. Developing reliable single-event effect resilient microelectronics in these modern technology nodes is a resource and time-intensive endeavor that further requires valid ...

    SBIR Phase I 2017 Department of DefenseDefense Threat Reduction Agency
  8. Bioinformatics: Data Integration for Biomonitoring Applications

    SBC: Reference Genomics, Inc.            Topic: DTRA162002

    To effectively counter Weapons of Mass Destruction (WMD) we must be able to accurately and sensitively detect the sites of WMD development. While the reagents and byproducts of nuclear activity may be rapidly depleted from environmental sites, those transient perturbations leave a lasting mark on the resident microbial communities by promoting and restricting the growth of different microorganisms ...

    SBIR Phase I 2017 Department of DefenseDefense Threat Reduction Agency
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