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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.

Displaying 81 - 84 of 84 results
 
  • Record 1 TO 84

  1. Improved Turbulence Modelling Across Disparate Length Scales for Naval Computational Fluid Dynamics Applications

    SBC: COMPUTATIONAL SCIENCES LLC            Topic: N15AT002

    Computational Sciences LLC will collaborate with the Rensselaer Polytechnic Institute (RPI) to develop and validate a stand-alone computational module that naturally accounts for the effects of turbulence. Such fluctuations and transitions may be associated with compressible flows and boundary layer interactions. The module will be designed for implementation in to existing legacy codes for use in ...

    STTR Phase I 2015 Department of DefenseNavy

  2. In situ NDI and correction of the AM process with laser SAW and heterodyne detection

    SBC: POLARONYX INC            Topic: N15AT008

    This Navy STTR Phase I proposal presents an unprecedented NDI tool to support laser additive manufacturing of metal parts by using fiber laser SAW and heterodyne detection. It is the enabling technology for real time characterize the AM parts in terms of temperature, cooling rate, grain structure, and defects. A proof of concept demonstration will be carried out at the end of Phase 1.Prototypes wi ...

    STTR Phase I 2015 Department of DefenseNavy

  3. Ultra-Wideband, Low-Power Compound Semiconductor Electro-optic Modulator

    SBC: Freedom Photonics LLC            Topic: N13AT005

    Freedom Photonics is proposing to develop a novel modulator concept. The overall objective of this program is to develop a novel compound-semiconductor electro-optic modulator that simultaneously exhibits 100-GHz operation, optical/microwave velocity matc

    STTR Phase II 2015 Department of DefenseNavy

  4. LCS Radar Modeling for Training (LRMT)

    SBC: Intelligent Automation, Inc.            Topic: N14AT012

    We propose the design and development of LCS radar modeling for training a radar modeling engine that capture the effects of environment, weather, jamming/interference and operator actions on radar display. The purpose of this engine is to reduce or eli

    STTR Phase I 2015 Department of DefenseNavy
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