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The Award database is continually updated throughout the year. As a result, data for FY22 is not expected to be complete until September, 2023.

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.

  1. Improved Flotation Separation of Rare Earth Ore

    SBC: ATS-MER, LLC            Topic: OSD12T01

    A critical step in the extraction of elements from ore, especially rare earth elements that are found in complex minerals, is separation. Froth flotation is a highly versatile method for physically separating particles based on differences in the ability of air bubbles to selectively adhere to specific mineral surfaces in a mineral/water slurry. The particles with attached air bubbles are then ca ...

    STTR Phase II 2015 Department of DefenseOffice of the Secretary of Defense
  2. Information Salience

    SBC: DISCERNING TECHNOLOGIES, LLC            Topic: OSD11TD1

    Empirical-based mathematical framework and computer algorithms, for representing human perception and cognition processes and limitations, which influence the recognition of salient information about rapidly changing events.

    STTR Phase II 2015 Department of DefenseOffice of the Secretary of Defense
  3. Detecting Substandard, Nonconforming, Improperly Processed and Counterfeit Materiel

    SBC: VIBRANT CORPORATION            Topic: DLA15C001

    Vibrant Corporation and Sandia National Laboratories (SNL) propose to apply Process Compensated Resonance Testing (PCRT) to the DLA's need for an NDI method to detect counterfeit, nonconforming and improperly processed materiel. PCRT collects and analyzes the resonance frequencies of a component to detect structural defects, characterize material, analyze population variation, monitor manufacturin ...

    STTR Phase I 2016 Department of DefenseDefense Logistics Agency
  4. Bounding generalization risk for Deep Neural Networks

    SBC: Euler Scientific            Topic: NGA20A001

    Deep Neural Networks have become ubiquitous in the modern analysis of voluminous datasets with geometric symmetries. In the field of Particle Physics, experiments such as DUNE require the detection of particle signatures interacting within the detector, with analyses of over a billion 3D event images per channel each year; with typical setups containing over 150,000 different channels.  In an ...

    STTR Phase I 2020 Department of DefenseNational Geospatial-Intelligence Agency
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