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Award Data

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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. Aluminum Agglomeration and Trajectory in Solid Rocket Motors

    SBC: Software And Engineering Associates, Inc.            Topic: AF06T012

    The demand for higher performance rocket motors at a reduced cost requires continuous improvements in understanding and controlling propellant combustion. Numerous examples are available where seemingly minor modifications and improvements to existing solid rocket systems have caused previously well performing motors to exhibit unexpected and at times near catastrophic behavior. It is far cheape ...

    STTR Phase I 2006 Department of DefenseAir Force
  2. Autonomous Broad Spectrum Environmental Sentinels

    SBC: NEVADA NANOTECH SYSTEMS, INC.            Topic: A13AT017

    We propose a platform for aerial environmental monitoring based on the integration of two advanced technologies for the first time: a lightweight, flying robotic platform capable of hovering and swarming, and a compact, low-power chemical sensor platform called the Molecular Property Spectrometer (MPS): a robust, low-cost, silicon-chip-based micro-electro-mechanical system (MEMS) that has been use ...

    STTR Phase I 2014 Department of DefenseArmy
  3. Sensitivity Analysis Methods for Complex, Multidisciplinary Systems

    SBC: SCIENTIFIC SIMULATIONS, LLC            Topic: AF11BT06

    ABSTRACT: The objective of this proposal is to develop efficient sensitivity analysis methods based on adjoint techniques for multi-disciplinary time-dependent problems. The approach is based on the discrete adjoint, which is derived and implemented on a software component basis, with the various multidisciplinary software components being linked together through a Python interface, thus preservi ...

    STTR Phase II 2014 Department of DefenseAir Force
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