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Award Data

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The Award database is continually updated throughout the year. As a result, data for FY20 is not expected to be complete until September, 2021.

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. Wideband Tunable Multiferroic Electronics for Advanced RF Systems (1000-277)

    SBC: SI2 TECHNOLOGIES, INC.            Topic: ST13B003

    SI2 Technologies proposes to design, model, fabricate and transition wideband tunable multiferroic electronics for advanced RF systems including adaptive Radar, software defined radios and other electronic warfare (EW) applications. Combining novel nanost

    STTR Phase I 2014 Department of DefenseDefense Advanced Research Projects Agency
  2. Multiferroic Materials for RF Applications

    SBC: Winchester Technologies, LLC            Topic: ST13B003

    Voltage tunable multiferroic materials with strong magnetoelectric coupling provide a unique approach to compact, lightweight and power efficient tunable RF/microwave multiferroic components, such as tunable inductors, filters, phase shifters, etc. The tu

    STTR Phase I 2014 Department of DefenseDefense Advanced Research Projects Agency
  3. Low Control Voltage, Thin Film Multiferroic Tunable Devices for RF Applications

    SBC: QUINSTAR TECHNOLOGY, INCORPORATED            Topic: ST13B003

    We propose a novel suspended multiferroic thin film structure fabricated by semiconductor processing technologies as the basis for the approach to designing the multiferroic microstrip-based circuit elements such as tunable filters. The proposed approach

    STTR Phase I 2014 Department of DefenseDefense Advanced Research Projects Agency
  4. A High-Level Operator Abstraction for GPU Graph Analytics

    SBC: Royal Caliber            Topic: ST13B004

    We propose to build a framework around an operator formulation to enable rapid development of massively parallel solutions to large graph problems. Graph algorithms are expressed by a small number of operators that are applied to components of the graph.

    STTR Phase I 2014 Department of DefenseDefense Advanced Research Projects Agency
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