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The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.

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. Innovative Application of Urban ISR (Intelligence, Surveillance, Reconnaissance) Imagery for High Fidelity Training Devices

    SBC: CG2, Inc.            Topic: N09BT038

    In today’s information age, there are vast resources of data on every region of the Earth. The application of geospecific imagery over large areas has been limited to terrain for the most part. The hindrances to full use of geospecific imagery are the labor required to create the databases, and limits on the rendering capacity of current image generators (IGs), both in polygon count and texture ...

    STTR Phase I 2010 Department of DefenseNavy
  2. Windable Lithium-ion Conducting Ceramic Electrolytes

    SBC: Chemat Technology, Inc.            Topic: A09AT011

    Lithium-air battery consists of a lithium anode electrochemically coupled to atmospheric oxygen through an air cathode. The major advantages of lithium air batteries are that air cathode active material, oxygen, is not stored internal to cell system and lithium anode being extremely lightweight metal with a highest theoretical specific energy density. This energy density is well comparable with t ...

    STTR Phase I 2010 Department of DefenseArmy
  3. Modeling Auditory Pattern Recognition and Learning with Gradient Frequency Neural Oscillator Networks

    SBC: OSCILLOSCAPE, LLC            Topic: AF09BT12

    This Small Business Technology Transfer research project addresses the perception and learning of complex sound patterns within complex auditory scenes. The objective is to model auditory signal processing, pattern recognition and learning in the human auditory system. Our novel approach simulates the nonlinear signal processing that has been observed in auditory physiology. By mimicking functiona ...

    STTR Phase I 2010 Department of DefenseAir Force
  4. Broadband agile wavelength laser for chemical aerosol detection

    SBC: DBC Technology Corp.            Topic: A09AT020

    Chemical agents in aerosol form have been identified as a major threat, and there is now interest in applying the long wave infrared frequency agile laser sensor to detection of this important agent form. If successful, it would be possible to perform detection of chemical agent vapors and aerosols and biological aerosol agents with a single dual-use sensor. To accomplish this, it is critical to ...

    STTR Phase I 2010 Department of DefenseArmy
  5. Naval Special Warfare (NSW) Underwater Secure Text Messaging and Diver Locater

    SBC: DESERT STAR SYSTEMS, LLC            Topic: N10AT034

    Small combat dive teams require a situational awareness capability that combines robust, low probability of detection (LPD) communication with navigation/tracking functions. The project will result in a compact terminal for underwater acoustics based communication, navigation and tracking. The Diver Messaging and Navigation Terminal (DMNT) will be rugged and easy to use, warranting a description ...

    STTR Phase I 2010 Department of DefenseNavy
  6. Metamaterial Antennas Imbedded with Ballistic Armor (PDRT10-006)

    SBC: VANGUARD SPACE TECHNOLOGIES, INC            Topic: N10AT021

    The proposed STTR will demonstrate how magnetic meta materials based antennas are ideal for integration into composite structures where the graphite composite backplanes can be integrated with dielectric ballistic protection materials that surround, yet do not interfere with the antenna. In ongoing research we have shown such antennas can approach the theoretical Gain-Bandwidth Product (GBWP) limi ...

    STTR Phase I 2010 Department of DefenseNavy
  7. Optimized Drying of Nano sized anisotropic particles in suspensions to improved aerosol dispersions.

    SBC: Electrodynamic Applications Inc            Topic: A09AT021

    The US Army has underscored the importance of developing more effective obscurant material for shielding US soldiers and their equipment from visible, microwave, and infrared observation. Current separation techniques tend to allow the nano-particles to agglomerate at higher density than desired for efficient obscurant devices. ElectroDynamic Applications, Inc. (EDA) in partnership with the Univ ...

    STTR Phase I 2010 Department of DefenseArmy
  8. Graded-Composition Refractory Coatings for Protection of Cu-Rails for Electromagnetic Launchers

    SBC: Engineered Coatings, Inc.            Topic: N10AT025

    The Navy is developing an electromagnetic (EM) launcher for long-range naval surface-fire-support. Severe operating conditions of the EM system place stringent requirements for materials, including high current and magnetic fields, high temperatures, contact with liquid metals, high stress/gouging from balloting contacts and high-speed-sliding electrical-contact with an Al armature. Engineered Coa ...

    STTR Phase I 2010 Department of DefenseNavy
  9. Random Number Generation for High Performance Computing

    SBC: Frontier Technology Inc.            Topic: A10AT012

    Frontier Technology, Inc. and University of Rhode Island Physics department propose to develop innovative, scalable random number generators for use on multiple parallel computing architectures. Our Phase I effort will include a comprehensive assessment of currently available algorithms for parallel random number generation as well as the currently available tests designed to uncover statistical d ...

    STTR Phase I 2010 Department of DefenseArmy
  10. Adaptive Learning for Stall Pre-cursor Identification and General Impending Failure Prediction

    SBC: Frontier Technology Inc.            Topic: N10AT008

    Frontier Technology, Inc. (FTI) and Northeastern University propose to investigate and develop an innovative approach to predict stall events of aircraft engines prior to occurrence and in sufficient time to allow the FADEC controller to adjust engine variables. The team will utilize vector quantization and neural network techniques to develop accurate models of engine behavior that will be used t ...

    STTR Phase I 2010 Department of DefenseNavy
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