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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. Volume Charge Distribution Measurement in Thin Dielectrics

    SBC: BOX ELDER INNOVATIONS LLC            Topic: AF11BT20

    ABSTRACT:Over half of spacecraft system anomalies attributed to interactions with the natural space environment including - electron upsets, damage to components, power system debilities, and complete satellite failures - are attributed to spacecraft charging.While measurements of electron emission, surface potential, and electrostatic breakdown provide important information, the great need for ma ...

    STTR Phase II 2013 Department of DefenseAir Force
  2. Highly-Scalable Computational-Based Engineering Algorithms for Emerging Parallel Machine Architectures

    SBC: SCIENTIFIC SIMULATIONS, LLC            Topic: AF10BT13

    ABSTRACT: In order to significantly advance the fidelity and capability of current computational engineering tools, algorithms, techniques, and software which map effectively to emerging massively parallel hardware architectures must be developed. The objective of this project is to investigate and demonstrate specific techniques for enhancing the scalability of computational fluid dynamics (CFD) ...

    STTR Phase II 2013 Department of DefenseAir Force
  3. Self-Reconfigurable Memristor-Based Computing Architecture: Design, Fabrication, and Characterization

    SBC: Bio Inspired Technologies, LLC            Topic: AF10BT31

    ABSTRACT: The chalcogenide based ion-conducting memristor has been shown to be an effective element as the core of a simple neuromorphic computing circuit. The response of the computing circuit is the result of weighted external stimuli, the current state of the device, and the history of exposure by the device to the stimuli. A highly specialized version of the device, as developed by the Advanc ...

    STTR Phase II 2013 Department of DefenseAir Force
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