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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. Plasmonic Cavity Spectroscopic Polarimeter

    SBC: ITN ENERGY SYSTEMS, INC.            Topic: AF08T027

    This Small Business Technology Transfer program will develop a spectroscopic polarimeter-on-a-chip using novel plasmonic resonant cavities sensitive to linear polarization over a narrow wavelength range. Spectral selection will be possible through geometric scaling, with this work concentrating on the visible to near infrared wavelength band. Dielectric gratings with subwavelength period will act ...

    STTR Phase II 2010 Department of DefenseAir Force
  2. Massively Parallel Micromachining with Ultrafast Lasers

    SBC: KAPTEYN-MURNANE LABORATORIES, INC            Topic: AF08T029

    We are proposing to develop a highly parallel, rapid prototyping system for the manufacture of microfluidic devices. In this phase II proposal we will build a complete system for making such devices for continued research on fieldable microfluidic systems for use in the military, and in hospitals. The project will also allow manufacturing in widely different materials, and structures, without an ...

    STTR Phase II 2010 Department of DefenseAir Force
  3. VLSI Compatible Silicon-on-Insulator Plasmonic Components

    SBC: ITN ENERGY SYSTEMS, INC.            Topic: AF08BT18

    This Small Business Technology Transfer Phase I project will develop ultradense, low-power plasmonic integration components and devices for on-chip manipulation and processing of optical signals. Both passive and active components will be studied. Detailed performance predictions will be obtained through finite element modeling (FEM) of the harmonic Maxwell’s equations. The FEM provides detai ...

    STTR Phase I 2010 Department of DefenseAir Force
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