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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. Adaptive multi-sensor wide area situational awareness system- MP 85-12

    SBC: METRON INCORPORATED            Topic: AF12BT14

    ABSTRACT: Existing machine learning algorithms have difficulty using all available data about a problem. This STTR will develop a new algorithm that can make full use of all available data, whether that data is labeled or not, and even when some data types or data resolutions are not available during operation. BENEFIT: This STTR will develop a novel machine learning algorithm for reasoning abo ...

    STTR Phase I 2013 Department of DefenseAir Force
  2. Infrared Metamaterials for Emission Phase Control

    SBC: PLASMONICS INC            Topic: AF10BT30

    ABSTRACT: Under the first phase of the program, Plasmonics Inc. and Sandia National Laboratories investigated a range of surfaces that yield non-Lambertian emission profiles in the thermal infrared. The second phase of this program will further maturate the designs developed in the first phase of the program. With the vast majority of the analytical work complete, focus in the second phase will b ...

    STTR Phase II 2013 Department of DefenseAir Force
  3. Spatiotemporal Nonlinear Data Analysis Tools and Reduced Order Models for Prediction of High-Pressure Reacting Flow Dynamics and Control

    SBC: SPECTRAL ENERGIES LLC            Topic: AF12BT15

    ABSTRACT: This Phase-I research effort is designed to forward the engineering investigation of the dynamics and control of turbulent combustion in high-pressure combustion systems by developing a set of game-changing nonlinear analysis tools that can significantly improve the post-processing speed and intelligent data mining of large numerical or experimental data sets. Moreover, a system based o ...

    STTR Phase I 2013 Department of DefenseAir Force
  4. A Trusted Computing Framework for Embedded Systems

    SBC: Intelligent Automation, Inc.            Topic: AF11BT15

    ABSTRACT: The damage and loss caused by attacks and security breaches have drawn attentions to develop secure and reliable systems for embedded systems. Compared to their desktop counterparts, embedded devices are facing more security challenges, such as the more possible physical access to a target device and more constrained computing environment (e.g., limited RAM and CPU power). Together, the ...

    STTR Phase II 2013 Department of DefenseAir Force
  5. 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
  6. Organic&Hybrid Organic/Inorganic-Based Graded-Index/Layered Optical Coatings by Physical Vapor Deposition (PVD)

    SBC: INTER MATERIALS, LLC            Topic: AF10BT19

    ABSTRACT: One of the Air Force main interests is to improve the antireflective (AR) optical properties of polycarbonate by exploring new coating materials or coating techniques to eliminate delamination and stress cracks due to the mismatch in the coefficient of thermal expansion between the coatings and the polymer substrates. SwRI and INTER Materials are in a unique position to assist the Air F ...

    STTR Phase II 2013 Department of DefenseAir Force
  7. Hybrid Energy Harvesting Systems

    SBC: Prime Photonics, LC            Topic: AF10BT22

    ABSTRACT: For this Phase II STTR effort, Prime Photonics and Virginia Tech propose to demonstrate a fully packaged hybrid photovoltaic/magneto-thermoelectric (PV/MTG) panel with improved energy conversion efficiency designed for solar powered air vehicles. In addition to acting as an active thermal backplane for the PV, the MTG is designed to maximize thermal to electrical conversion from the av ...

    STTR Phase II 2013 Department of DefenseAir Force
  8. Time series prediction for satellite ballistic coefficients

    SBC: OMITRON, INC.            Topic: AF10BT36

    ABSTRACT: The leading errors in computing future positions of satellites in Low Earth Orbit are generally due to inaccuracies in the thermospheric density and the prediction thereof. The use of Dynamic Calibration Atmosphere has reduced these traditional sources of error and variations seen in ballistic coefficients can now be attributed to unmodeled satellite frontal area changes. When the orb ...

    STTR Phase II 2013 Department of DefenseAir Force
  9. 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
  10. Design and Analysis of Multi-core Software

    SBC: SECURBORATION, INC.            Topic: OSD11T03

    Modern processor design is trending increasingly toward multicore architectures. This is problematic for programmers because writing a correct parallel program is known to be difficult compared to writing the equivalent sequential program. Additionally, a wide body of sequential code has already been developed that cannot exploit the power offered by these new cores because it was written in a s ...

    STTR Phase II 2013 Department of DefenseAir Force
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