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Award Data

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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. Advanced Morphing Moulage for Medical Training (AMM-MT)

    SBC: VCOM3D INC            Topic: DHA17A002

    For this Phase I SBIR proposal, Vcom3D proposes to design advanced medical moulage that accurately simulates the progression of an injury or pathology by morphing through a series of clinical states to enable learners to confirm the progression of the wound and to determine whether iatrogenic errors or pathologies occurred duing treatment. The physical morphing moulage may be applied to medical m ...

    STTR Phase I 2017 Department of DefenseDefense Health Agency
  2. Bio-Mathematical Models of Aggregated Tissues & Organ Properties

    SBC: BIOMOJO LLC            Topic: DHP16A001

    BioMojo LLC and the Departments of Mathematics and Biomedical Engineering at the University of North Carolina Chapel Hill, will develop a preliminary bio mathematical model framework to represent how human tissues interact and behave at their boundaries. Tissue interaction properties (e.g. tensile, shear, friction, and so forth) of connective, epithelial, muscular, and nervous tissue including su ...

    STTR Phase I 2016 Department of DefenseDefense Health Agency
  3. Micro Air Vehicle Tether Recovery Apparatus (MAVTRAP)

    SBC: INNOVATIVE AUTOMATION TECHNOLOGIES, LLC            Topic: AF08T014

    Our team proposes to develop, test, and commercialize a Micro Air Vehicle Tether Recovery APparatus (MAVTRAP). This system operates by deploying an instrumented MAV capture device attached via a tether system from a mothership unmanned air vehicle (UAV). The instrumented MAV capture device contains an integrated avionics suite. Our team will determine and control the precise mother ship UAV loi ...

    STTR Phase II 2010 Department of DefenseAir Force
  4. Highly-Scalable Computational-Based Engineering Algorithms for Emerging Parallel Machine Architectures

    SBC: RNET TECHNOLOGIES INC            Topic: AF10BT13

    ABSTRACT: RNET and The Ohio State University propose to use algorithmic modifications and multi-level parallelization techniques and tools to improve the scalability of the aero-line/aero-elastic coupled CFD/CSD codes relevant to the DoD/AF (e.g., CREATE/Kestrel). The optimizations will address inter-node and intra-node parallelization to better target emerging compute architectures (e.g., multi ...

    STTR Phase II 2013 Department of DefenseAir Force
  5. High-Frequency Calibration System for Sensors Used in High-Speed Airflow Measurements

    SBC: INTERDISCIPLINARY CONSULTING CORP            Topic: AF17AT003

    The Interdisciplinary Consulting Corporation (IC2) in partnership with the University of Florida, proposes to develop and standardize a novel, high-frequency dynamic pressure sensor calibration method and system for sensors used in the measurement of high speed flows. The proposed innovation is a novel calibration method combined with modified and repurposed measurement hardware to enable calibra ...

    STTR Phase I 2017 Department of DefenseAir Force
  6. Highly-Resolved Wall-Shear-Stress Measurement in High Speed Flows

    SBC: INTERDISCIPLINARY CONSULTING CORP            Topic: AF14AT08

    The Interdisciplinary Consulting Corporation (IC2), in partnership with the University of Florida (UF) and Innoveering, LLC, proposes to develop an innovative precision micro-scale surface-mountable sensor for measuring local wall shear stress in [a] high speed flow field (approximately 0.8 < M < 5) to enable characterization of critical boundary layer flows in ground and flight tests in response ...

    STTR Phase II 2016 Department of DefenseAir Force
  7. Tools for Modeling &amp; Simulation of Molecular and Nanomaterials for Optically Responsive Devices

    SBC: UES INC            Topic: AF09BT30

    Military applications for CBRNE/GWTO and C4ISR require R&D for materials to protect personnel and equipment. However, challenges remain in experimental synthesis and characterization of new materials, such as providing insight into observed properties for further advancement. Thus, it is essential to develop a predictive modeling and simulation approach that will not only provide a fundamental u ...

    STTR Phase I 2010 Department of DefenseAir Force
  8. Compact Laser Drivers for Photoconductive Semiconductor Switches (16-RD-863)

    SBC: UES INC            Topic: DTRA16A004

    Compact Electromagnetic Pulse Module (EMP) capable of being arranged in series-parallel planar or cylindrical arrays is needed to simulate nuclear weapon effects. High gain optically triggered photoconductive semiconductor switches (PCSS) based on Gallium arsenide (GaAs) with low timing jitter enables the development of planar or phased arrays of modular EMP or High Power Microwave (HPM) sources. ...

    STTR Phase I 2017 Department of DefenseDefense Threat Reduction Agency
  9. Suppression of Wind Turbine Clutter from Radar Data

    SBC: MATRIX RESEARCH INC            Topic: AF12BT05

    ABSTRACT: It is well known that wind turbine clutter (WTC) presents a significant challenge to detecting targets in civilian and military applications. The large radar cross section (RCS) of wind turbines, combined with their significant range of Doppler spread, make traditional clutter mitigation techniques effectively useless. The objective of this Phase I effort is to develop a physically con ...

    STTR Phase I 2013 Department of DefenseAir Force
  10. Exploitable Physics for Recognition and Classification

    SBC: MATRIX RESEARCH INC            Topic: AF12BT06

    ABSTRACT: The objective of this effort is to develop innovative methods for deriving a sparse set of physical target features that can be used for exploitation of air to ground signature data collected from sensor systems including electro-optical, infrared, and laser radar. Current classification methods require near exact replication of the original imaging parameters, or extensive modeling in ...

    STTR Phase I 2013 Department of DefenseAir Force
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