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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. Advanced Computational Algorithms for Simulating Weapon-Target Interaction

    SBC: ACTA, LLC            Topic: N/A

    This STTR project will develop and validate a robust, scalable computational capability for the simulation of weapon-target interactions of interest to the Army. The proposed algorithm is based on the FLIP (Fluid Implicit Particle) - MPM (Material PointMethod) - MFM (Multiphase Flow Method) approach and the CartaBlanca nonlinear solver environment developed at Los Alamos National Laboratory. Car ...

    STTR Phase I 2003 Department of DefenseArmy
  2. Advanced Computational Algorithms for Simulating Weapon-Target Interaction

    SBC: ACTA, LLC            Topic: N/A

    This STTR project will develop and validate a robust, scalable computational capability for the simulation of weapon-target interactions of interest to the Army. The proposed algorithm is based on the FLIP (Fluid Implicit Particle) - MPM (Material Point Method) - MFM (Multiphase Flow Method) approach and CartaBlanca nonlinear solver environment developed at Los Alamos National Laboratory. CartaB ...

    STTR Phase I 2004 Department of DefenseArmy
  3. Hybrid Optical/Digital Imaging for Automatic Inspection

    SBC: ATMOSPHERIC & ENVIRONMENTAL RESEARCH, INC.            Topic: N/A

    N/A

    STTR Phase I 1999 Department of DefenseArmy
  4. Development of a Prototype Multivalent, Oral Vaccine for Traveler's Diarrhea

    SBC: ANTEX BIOLOGOCIS, INC.            Topic: N/A

    N/A

    STTR Phase I 1999 Department of DefenseArmy
  5. High Frequency MEMS-based TWTS using Novel Interaction Circuits and Beam Sources

    SBC: CALABAZAS CREEK RESEARCH, INC.            Topic: N/A

    We propose to investigate innovative, wideband, traveling-wave tubes (TWTs) compatible with three-dimensional (3D) micro-electro-mechanical systems (MEMS) fabrication techniques for millimeter or sub-millimeter wave applications. At least three novelinteraction circuits designed around MEMS fabrication technology will be investigated, as well as a novel electron beam source using field emission a ...

    STTR Phase I 2003 Department of DefenseArmy
  6. High Frequency MEMS-based TWTS using Novel Interaction Circuits and Beam Sources

    SBC: CALABAZAS CREEK RESEARCH, INC.            Topic: N/A

    From consultations with the Army program manager, it was determined that the Army has a strong need for improved amplifiers in the W band. Accordingly, the proposed Phase II overall technical objective is to develop a 10 W, W-band prototype planar helix TWT. In Phase I, we addressed improving the repeatability, cost and yields of conventional Ka-band TWTs by introducing novel circuits, beam sou ...

    STTR Phase I 2004 Department of DefenseArmy
  7. Hybrid Optical/Digital Imaging for Automatic Inspection

    SBC: Cdm Optics, Inc.            Topic: N/A

    N/A

    STTR Phase I 1999 Department of DefenseArmy
  8. Hybrid Optical/Digital Imaging for Automatic Inspection

    SBC: Cdm Optics, Inc.            Topic: N/A

    In Phase I a revolutionary system for digital imaging microscopy was demonstrated. The system is based on the newly-developed imaging technology of Wavefront Coding (WFC). WFC employs specialized aspheric optics and digital processing to greatly increasethe depth of field or depth of focus. WFC simultaneously decreases the size, weight, and cost of a variety of digital imaging systems. Depth o ...

    STTR Phase I 2001 Department of DefenseArmy
  9. Real-time Adaptive Classification Environment using Rules (RACER)

    SBC: CHARLES RIVER ANALYTICS, INC.            Topic: N/A

    "Robust Automatic Target Recognition (ATR) algorithms must be able to identify the conditions under which they are operating and tune their parameters to ensure targets are identified while retaining a low false-alarm rate. For example, the image signatureof a distant target is fundamentally different from the signature of a near target, so a single ATR algorithm with a single set of parameters wi ...

    STTR Phase I 2002 Department of DefenseArmy
  10. Real-time Adaptive Classification Environment using Rules (RACER)

    SBC: CHARLES RIVER ANALYTICS, INC.            Topic: N/A

    Automatic Target Recognition (ATR) algorithms must be able to identify the conditions under which they are operating and tune their parameters accordingly to ensure robust accuracy and low false-alarm rate. For example, the signature of a target imagedunder ideal weather conditions (overcast skies) is fundamentally different from the signature of a target imaged when raining. Therefore, a single A ...

    STTR Phase I 2003 Department of DefenseArmy
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