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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. Single ply 3Dwoven Functionally Gradient Multi-Fiber / Multi-Matrix Composites with Thermal Management Systems

    SBC: 3TEX, Inc.            Topic: AF04249

    In composites, not only can properties vary with load direction, fiber based composites also offer the unique ability to tailor material properties locally. Localized matrix or fiber architecture changes can meet local mechanical, electrical, or thermal loads within a component or vehicle, without weight penalty or resort to additional external structures. In Phase I, the team used 3TEX 3-D wea ...

    SBIR Phase II 2006 Department of DefenseAir Force
  2. Novel Structural Joining Concepts Using 3-D Textile Preforms and Composites

    SBC: 3TEX, Inc.            Topic: AF05248

    Strength and durability of commonly used bonded and bolted composite-to-composite and composite-to-metal structural joints suffer from sharp geometry variations, mismatch of elastic moduli, Poisson’s ratios, coefficients of thermal expansion and thermal conductivity of the adherends, altogether causing high stress concentration and premature joint failure. The proposed work is focused on develop ...

    SBIR Phase II 2006 Department of DefenseAir Force
  3. Hardware Accelerated Simulator for Scattering from Electrically Large Objects and Scenes

    SBC: EM PHOTONICS INC            Topic: AF05220

    Over the past few decades, computational electromagnetics (CEM) researchers have been making steady progress towards the development of efficient algorithms, such as the Method of Moments (MoM), for simulating scattering from electrically large targets. Unfortunately, such techniques have proved too computationally demanding because they require the solution of an often very large and dense matri ...

    SBIR Phase II 2006 Department of DefenseAir Force
  4. Development of Advanced Polymer Based Photonic Crystal Devices and Fabrication Processes

    SBC: EM PHOTONICS INC            Topic: AF05135

    Photonic crystals have led the way for miniaturizing application specific optical integrated circuit (ASOIC) to a scale comparable to the wavelength of light which in turn made them a good candidate for next generation high-density optical systems and interconnects. Polymer based Photonic Crystal structures have potential applications in optical integrated circuits, optoelectronics, optical switch ...

    SBIR Phase II 2006 Department of DefenseAir Force
  5. Agent Based Computing Machine

    SBC: LEXXLE, INC.            Topic: AF05109

    This SBIR will develop a new class of computer architecture called an “agent based computing” module (ABC Machine) that enables “cognitive computing” algorithms to be implemented effectively on a large scale. The ABC Machine is a biologically inspired architecture derived from the field of “membrane computing” and is also based upon “statistical dataflow computing”. It operates in ...

    SBIR Phase II 2006 Department of DefenseAir Force
  6. Fuze Jerk Reduction and Optimum Deceleration from a Compliant Material System

    SBC: LRK Associates            Topic: AF05166

    Experimental tests in Phase I have shown the fuze shock absorber system capable of reducing shock peaks by a factor of three, and the associated jerk by an order of magnitude. The Phase II work will be devoted to exploring the performance space of this jerk-reduction system as a function of its material properties and physical configuration, as well as the fuze mass. LRK Associates will design a ...

    SBIR Phase II 2006 Department of DefenseAir Force
  7. Fast Algorithms for Imaging Simulation through Turbulence

    SBC: LRK Associates            Topic: AF05009

    The Phase I work has shown the technical feasibility of creating new, equivalent-accuracy algorithms for optical simulation with smaller operations counts than existing Fourier methods. These will be helpful in speeding up extended scene imaging simulations used in laser weapons' systems performance evaluations. However, the computational efficiency advantage of these new algorithms over Fourier ...

    SBIR Phase II 2006 Department of DefenseAir Force
  8. AIMS: Agent-based Information Management System

    SBC: QUANTUM LEAP INNOVATIONS, INC.            Topic: AF05105

    Information Management is an important component in the development of viable information sharing systems, such as JBI, where shared information may be manipulated to derive further information. The qualities of such derived information depend on qualities of the contributing information and of their sources. Determining information quality requires propagation of qualitative and pedigree data abo ...

    SBIR Phase II 2006 Department of DefenseAir Force
  9. Sensor Exploitation by Adaptive/Learning Systems (SEALS)

    SBC: Signal Innovations Group, Inc.            Topic: AF05219

    Signal Innovations Group (SIG) and its Fast Track partner, Integrian (www.integrian.com), propose development of an adaptive video sensing system, with a focus on intelligence, surveillance, and reconnaissance (ISR). The proposed adaptive system is applicable for ISR in general environments, addressing base and port security, as well as urban and suburban sensing during wartime and peace-keeping o ...

    SBIR Phase II 2006 Department of DefenseAir Force
  10. Database Expansion Issues

    SBC: Signal Innovations Group, Inc.            Topic: AF05211

    State-of-the-art radar combat ID (CID) must address target identification in complex environments, often with very limited measured training data. Consequently, the algorithms frequently rely on data computed via numerical models, as a function of required sensor conditions (bandwidth, target-sensor orientation, polarization, etc.). Such data are usually computed using approximate high-frequency ...

    SBIR Phase II 2006 Department of DefenseAir Force
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