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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. Real Time Automated Multi-Sensor Target Classification Algorithm

    SBC: ARCHARITHMS INC            Topic: A18095

    This research develops an algorithm capable of reliable target classification for a wide range of targets, including, but not limited to, Rockets, Artillery and Mortars (RAM); Unmanned Aerial Vehicles (UAVs); and cruise missiles. For defensive High Energy Laser (HEL) missions, the engagement timeline can be very short. Thus, it is highly desirable to have a robust target classification system that ...

    SBIR Phase II 2019 Department of DefenseArmy
  2. Chaotic Source for Spread-Spectrum Radar and Communication

    SBC: Monte Sano Research Corporation            Topic: A18117

    Through a collaboration, Monte Sano Research Corporation and Southern Research have recently developed a novel, low-cost signal source for spread spectrum radar and communications systems. This source is capable of producing broadband signals using a printed circuit board and inexpensive (

    SBIR Phase II 2019 Department of DefenseArmy
  3. Stochastic Electromagnetic / Circuit Analysis

    SBC: SYNCLESIS INC            Topic: A15AT004

    Synclesis, Inc., and the University of Illinois at Urbana Champaign (UIUC), under a Phase I and II STTR project, have developed a novel software framework for computationally efficient and accurate Electromagnetic Interference (EMI) analysis and assessment at the system level. The framework integrates commercially available full wave electromagnetic (EM), circuit simulation, and approximate, physi ...

    STTR Phase II 2019 Department of DefenseArmy
  4. High-Performance Activewear and Workwear made from Virgin and Recycled Cotton

    SBC: Natural Fiber Welding, Inc.            Topic: A17AT013

    Natural Fiber Welding, Inc. (NFW) is developing revolutionary textile manufacturing processes that both increase performance of biodegradable natural fibers while decreasing manufacturing costs. Benefits of NFW’s technologies include greatly increasing the performance of cotton, including mechanically recycled cotton. Today there are billions of pounds of waste cotton textiles that are landfille ...

    STTR Phase II 2019 Department of DefenseArmy
  5. Pulse Voltammetry Tools for Accurate and Rapid Analysis of Batteries

    SBC: CFD RESEARCH CORPORATION            Topic: A152092

    Pulse voltammetry techniques, coupled with model-based analysis tools, provide a number of advantages for quantitative analysis of electrochemically active materials that govern the performance of batteries and fuel cells. In prior Phase I and II research, CFD Research developed and validated computational models in software that reads voltammogram data from laboratory instruments; predicts the re ...

    STTR Phase II 2019 Department of DefenseArmy
  6. Vascularization of Thick Tissue Constructs for Regenerative Medicine

    SBC: CFD RESEARCH CORPORATION            Topic: A17068

    Lack of ability to develop vascularized thick tissue constructs is a major limitation for use in tissue repair and regeneration in humans. A key bottleneck, of particular relevance to thick tissues (>1cm) is the mass transfer limitations across the vasculature to the tissue cells, which detrimentally impacts the long term viability and functionality of the tissue constructs. In this context, the o ...

    SBIR Phase II 2019 Department of DefenseArmy
  7. Agile Development of a Common Engine Software Interface

    SBC: Avilution, LLC            Topic: A18080

    Avilution proposes to further enhance its commercially available eXtensible Flight System (XFS) to provide a FACE™ 3.0 aligned Transport Service (TS) supporting the capture, display and use of data from multiple engine Full Authority Digital Engine Controls (FADEC) and similar systems. Avilution already provides a software platform for the creation of avionics solutions which leverages a compact ...

    SBIR Phase II 2019 Department of DefenseArmy
  8. Development of a Turbocharger for Small Aviation Diesel Engines

    SBC: Hartzell Engine Technologies LLC            Topic: A18019

    The Department of Defense desires to develop and produce a reliable turbocharger for an aviation compression-ignition engine with a maximum power of 180 hp at sea level which additionally provides 60% of maximum sea level power at 30,000 ft. The challenge is to reliably provide adequate manifold pressure to achieve the desired power at altitude. Diesel engines with existing standard turbocharger t ...

    SBIR Phase II 2019 Department of DefenseArmy
  9. Optically Transparent Near-Perfect Microwave Absorber

    SBC: Aegis Technologies Group, LLC, The            Topic: A17093

    Protecting electro-optical/infrared (EO/IR) sensors from electromagnetic interference (EMI) is critical for many military operations. Typically, these sensors are shielded using metal mesh and/or thin film coatings that reflect microwave frequencies but transmit the sensor operational bands. However, for platforms that require stringent radar cross-section (RCS) control, EO/IR sensors need to be p ...

    SBIR Phase II 2019 Department of DefenseArmy
  10. A Plug-and-Play (PnP) Tool based on Online Machine Learning for Real-Time Monitoring and Control of Mechanical Systems

    SBC: CFD RESEARCH CORPORATION            Topic: A18034

    The goal of the project is to develop and demonstrate a plug-and-play (PnP) platform based on online neural network (NN) learning and modeling for real-time monitoring, prognostics, and control of mechanical systems. In Phase I, key technology elements of real-time HUMS data analysis including “around-theclock” NN learning, feature selection, model predictive control, and embedded computing pl ...

    SBIR Phase II 2019 Department of DefenseArmy
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