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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. Dial-a-Yield Munitions

    SBC: Energetic Materials & Products, Inc.            Topic: AF06146

    The Phase I investigation demonstrated the ability to dial the total energy output from a new class on nanoenergetic compositions by altering the shock strength of the initiating charge. The Phase I study laid the groundwork for developing a practical dial- a-yield (DAY) warhead that can deliver a variable total energy output using multiple initiating charges. The technology advance relies upon a ...

    SBIR Phase II 2007 Department of DefenseAir Force
  2. Autonomous seafloor geotechnical property sensor

    SBC: Ocean Acoustical Services and Instrumentation Systems, Inc.            Topic: N06160

    Current geo-technical measurement systems are low resolution and generally require significant research vessel support. In this SBIR, the OASIS/WHOI team proposes to build a system that will remotely, autonomously and rapidly estimate and map shear strength parameters using state-of-the art Autonomous Undersea Vehicle (AUV) technology. The AUV-based Acoustic Sediment Classifier (ASC) is an inno ...

    SBIR Phase II 2007 Department of DefenseNavy
  3. Innovative Structural Joining Concepts and Analysis Techniques

    SBC: Technova Corporation            Topic: AF06234

    A new structural joining technique is under development which employs a massive number of nanomaterials to achieve unique combinations of properties. One-dimensional nanomaterials (nanotubes, nanohelices, etc.) are anchored onto the opposite faces of the joint, and compatibly functionalized and engaged to form chemical bonds over their tremendous surface areas. The exceptional mechanical, physic ...

    SBIR Phase II 2007 Department of DefenseAir Force
  4. Flame Resistant Material For Use in Protective Garment Applications

    SBC: NANOSYNTEX            Topic: A05188

    The main objective of this proposal is to build on the efforts of the Army SBIR Phase I project to finalize the design and development of a superior lightweight and comfortable flame resistant garment made of nonwoven composite fabric. The goal is to significantly elevate the fire and thermal protection properties of these next generation composite fabrics over conventional Nomex® at lower cost. ...

    SBIR Phase II 2007 Department of DefenseArmy
  5. Biologically Inspired Adhesive Microstructure

    SBC: Technova Corporation            Topic: AF06148

    Bio-inspired adhesives are under development which employ nanofibrillar structures for reliable and strong adhesion to various substrates. Applications toward micro air vehicle locomotion and in broader dry adhesives markets are emphasized. Biological adhesives (employed by gecko, spider, etc.) rely on multi-scale structures with nanofibrillar contact elements for effective adhesion to rough or ...

    SBIR Phase II 2007 Department of DefenseAir Force
  6. Morphing High Temperature Shape Memory Alloy Actuators for Hypersonic Projectiles

    SBC: Mide Technology Corporation            Topic: N05T013

    Shape Memory Alloy (SMA) materials present unique benefits to the control and stabilization of hypersonic projectiles. Midé and the University of Colorado at Boulder is concluded in Phase I that SMA materials offer distinct advantages for the control of hypersonic projectile through the development and analysis of concepts that could achieve the desired flight control characteristics within the ...

    STTR Phase II 2007 Department of DefenseNavy
  7. Three-Dimensional Nonlinear Structural Analysis Methods for Gas Turbine Engine Metallic Components and Component Assemblies

    SBC: VEXTEC Corporation            Topic: AF06095

    The objective of this Phase II program is to implement, demonstrate and validate the computational techniques that were developed in Phase I that can be used for materials-damage based prognosis of gas turbine engine components and component assemblies. This approach will consist of a probabilistic multi-axial three-dimensional non-linear structural analysis method to enable the implementation of ...

    SBIR Phase II 2007 Department of DefenseAir Force
  8. VAMAV: Visual Collision Detection and Avoidance for a Micro Air Vehicle

    SBC: SCIENTIFIC SYSTEMS CO INC            Topic: AF06149

    This proposal presents the VAMAV system (Visual Awareness/Avoidance for a Micro Air Vehicle) for monocular visual collision detection and avoidance. Real time collision detection will be implemented using a time-to-collision approach based on area moment estimates of expansion from globally optimal image segmentation. This approach does not require explicit optical flow computations, and avoids n ...

    SBIR Phase II 2007 Department of DefenseAir Force
  9. Ethylene Control in Fresh Fruits and Vegetables

    SBC: PRIMAIRA, LLC            Topic: A06180

    The accumulation of ethylene in the transport and storage of fresh produce is an important problem for the US Army and for commercial agriculture. Certain fruits and vegetables generate ethylene as a natural part of their ripening cycle. Other fruits and vegetables are highly sensitive to the presence of ethylene, but may or may not produce the ethylene themselves. Small amounts of ethylene can in ...

    SBIR Phase II 2007 Department of DefenseArmy
  10. Adaptive Toolkit for Pattern Discovery (ATPD)

    SBC: KNOWLEDGE BASED SYSTEMS INC            Topic: AF06066

    This project will design, configure, and demonstrate an Adaptive Toolkit for Pattern Discovery (ATPD). We propose a novel approach that combines emerging machine learning techniques with advanced rule-based methods to (i) automate the discovery of complex system-of-systems data utilization patterns and (ii) apply the learned usage patterns to dynamically update enterprise knowledge models being u ...

    SBIR Phase II 2007 Department of DefenseAir Force
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