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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. Development of a Rapidly Deployable Scaled Fighter for Aeroelastic Research

    SBC: MAINSTREAM ENGINEERING CORP            Topic: AF12BT12

    ABSTRACT: Experimental testing of dynamic models has been performed for more than 50 years and a wealth of data exists for individual models. However, this data is often either restricted as proprietary or is not suitable for CSE tool validation as a result of incomplete model or test information. Mainstream Engineering proposes to design, fabricate, and test a scaled fighter for aeroelastic ...

    STTR Phase I 2013 Department of DefenseAir Force
  2. Biologically-inspired Integrated Vision System

    SBC: SPECTRAL IMAGING LABORATORY            Topic: AF12BT03

    ABSTRACT: The U.S. Air Force has a need to develop a new class of advanced, wide field of view (WFOV) imaging sensors that sample the radiation field in multiple modes: spectral, temporal, polarization, and detailed object shape. These multimodal sensors are to be deployed on high altitude drones to enhance their intelligence, surveillance, and reconnaissance (ISR) capabilities. Smaller versio ...

    STTR Phase I 2013 Department of DefenseAir Force
  3. Innovations in Physical Modeling and Statistical Exploitation of Electromagnetic Target Signatures

    SBC: Five Focal LLC            Topic: AF12BT06

    ABSTRACT: Feature extraction and target recognition suffer from a lack of a reliable model for both exploitable target features and the electromagnetic signature they possess. Signature data are often hard to interpret and invert to recover the target robustly. Bayesian learning approaches to statistical pattern recognition are based on the use of training sets of inputs and outputs, a data mode ...

    STTR Phase I 2013 Department of DefenseAir Force
  4. Compact, Low-Cost THz Test System

    SBC: SA PHOTONICS, LLC            Topic: AF12BT08

    ABSTRACT: There has been a growing interest and increased R & D activities in applying THz technology to biomedical, security, communications and science/manufacturing imaging, etc. However, even with all these research activities, there are very limited choices of test and measurement instruments in the THz range. Despite wide availability of RF/microwave (below THz) and optical (above THz) netw ...

    STTR Phase I 2013 Department of DefenseAir Force
  5. A High Performance and Cost Effective Ultra High Performance Concrete

    SBC: i2C Solutions, LLC            Topic: AF12BT04

    ABSTRACT: Adversarial installations, such as those housing the means for nuclear weapons production, are increasingly being constructed in heavily fortified locations and often using ultra high performance concrete (UHPC) as the construction material. As such, the U.S. Air Force has considerable interest in further developments of ultra high performance concrete (UHPC) to maintain an advantage o ...

    STTR Phase I 2013 Department of DefenseAir Force
  6. Biologically-inspired integrated vision systems

    SBC: Tanner Research, Inc.            Topic: AF12BT03

    ABSTRACT: Tanner Research, Inc., in collaboration with University of Maryland, will determine feasibility and plan for development of technology based on insect visual sensing and processing, which will integrate three modes related to navigation and guidance: motion detection from imaging sensing; polarization sensing and processing to implement a celestial compass; and ocellar sensing and proce ...

    STTR Phase I 2013 Department of DefenseAir Force
  7. New Paradigms in High Pressure Combustion Dynamics Prediction and Control

    SBC: HYPERCOMP INC            Topic: AF12BT15

    ABSTRACT: Stability phenomena that are of vital interest in liquid rocket motor development involve a confluence of diverse physics and interactions across many system components. Any comprehensive, self-consistent numerical model is burdened by a very large computational mesh, stiff unsteady processes which limit permissible time step, and the need to perform tedious, repeated calculations for a ...

    STTR Phase I 2013 Department of DefenseAir Force
  8. New Paradigms in High Pressure Combustion Dynamics Prediction and Control

    SBC: METACOMP TECHNOLOGIES INC            Topic: AF12BT15

    ABSTRACT: The proposed work aims to build a physics-based rapid turnaround simulation capability for resolving combustion dynamics in liquid rocket engines operating at trans-critical and supercritical flow regimes. The methodology will explore both Reduced-Order Methods and Reduced-Basis Methods as potential candidates for efficient unsteady flow simulation, data storage and retrieval, and data ...

    STTR Phase I 2013 Department of DefenseAir Force
  9. Characterization of the Aero-Structure Environment of a Transonic Scaled Fighter (CASE-TSF)

    SBC: NEXTGEN AERONAUTICS, INC.            Topic: AF12BT12

    ABSTRACT: NextGen Aeronautics Inc. proposes use of rapid prototyping (RP) technologies, design process improvements, and novel sensing technologies to significantly reduce time and cost of transonic aeroelastic wind tunnel model development and improve their direct correlation to CFD data. The use of modern RP technologies will allow for model design variations such as variable modulus (stiffness ...

    STTR Phase I 2013 Department of DefenseAir Force
  10. Operating System Mechanisms for Many-Core Systems

    SBC: SECURBORATION, INC.            Topic: OSD11T04

    In the Phase I portion of this STTR, Securboration and renowned multicore expert Dr. Frank Mueller from North Carolina State University designed, developed, and benchmarked the proof-of-concept Pico-kernel Adaptive and Scalable Operating-system (PICASO) for many-core architectures. The Securboration Team took a scientific, experimentation-based approach to identifying and resolving shortcomings wi ...

    STTR Phase II 2013 Department of DefenseAir Force
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