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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. An Immersed Boundary Framework for Topology Optimization of Nonlinear Thermoelastic Structures with Internal Radiation

    SBC: SPECTRAL ENERGIES LLC            Topic: AF17AT015

    Thermoelastic structures poses a critical challenge to designers due to the inherent proportionality of the thermal loading on the structural thickness. This is further exacerbated by structural nonlinearity where any out-of-plane deformation further increases the effective loading on the structure. As a result of this, conventional design optimization procedures, which are typically based on line ...

    STTR Phase I 2017 Department of DefenseAir Force
  2. High-Speed Measurements of Dynamic Flame Stabilization Processes in High-Pressure Combustion Systems

    SBC: SPECTRAL ENERGIES LLC            Topic: AF16AT13

    The Phase-II research is a natural extension and a significant advancement over the Phase-I research, which has successfully demonstrated high-speed, burst-mode, polarization-based, dual-plane, stereoscopic PIV measurements synchronized with OH-PLIF imaging of turbulent swirling combustion in a generic gas-turbine combustor with and without acoustic forcing. We propose to conduct high-speed, burst ...

    STTR Phase II 2017 Department of DefenseAir Force
  3. Bio-Inspired Bone, Wing, Tail, and Muscle Structures for Morphing Aircraft

    SBC: Prioria Robotics, Inc.            Topic: AF15AT01

    ABSTRACT: Our focus in this proposal is to perform basic research to create bio-inspired 3-D morphing mechanical structures which are a gateway technology to enable true 3-D morphing flight. Prioria and Virginia Tech University will team to perform basic research into bio-inspired structure such as artificial bones/wings/feathers and artificial muscles. Prioria will establish technical feasibility ...

    STTR Phase I 2016 Department of DefenseAir Force
  4. Prototype for Rapid Reconstitution for Ground-based Space Situational Awareness Capability for Near-geosynchronous Objects

    SBC: DFM Engineering Inc            Topic: AF16AT05

    We propose to research the feasibility of rapidly reconstituting a ground based sensor system for space situational awareness with a large fraction of the capability of the GEODSS sensor system. This system can be deployed quickly to a GEODSS site where ...

    STTR Phase I 2016 Department of DefenseAir Force
  5. Securing the Internet of Things in Tactical Environments

    SBC: Kalos Technologies, Inc.            Topic: AF16AT10

    Kalos Technologies Inc. (Kalos) and Temple University submit together this STTR Phase I proposal entitled Securing the Internet of Things in Tactical Environments to the Air Force in response to solicitation topic AF16-AT10: Securing the Internet of Things. It is the Kalos and Temples effort in the development of hardware-based security, embedded system security, secure communication, and secure I ...

    STTR Phase I 2016 Department of DefenseAir Force
  6. Diversified Hypervisors

    SBC: SIEGE TECHNOLOGIES, LLC            Topic: AF16AT11

    The widespread adoption of cloud computing resources has resulted in the proliferation of virtualization technologies.New technology begets new attack vectors; consequently, a new breed of malware techniques have emerged that detect the presence of a virtual machine or hypervisor and respond by directly attacking the hypervisor in an attempt to breakout of the virtual machine container. To counter ...

    STTR Phase I 2016 Department of DefenseAir Force
  7. Topological Signal Analysis for Multi-Modal Data Analysis

    SBC: GEOMETRIC DATA ANALYTICS INC.            Topic: AF16AT12

    Extracting information from different modalities of data is one of the greatest challenges in this era of exponential data growth, as well as one of the most promising horizons for the development of new capabilities for military, commercial, and scientific applications. Virtually all areas of defense, industry, and science are becoming increasingly dependent on the ability to analyze multimodal d ...

    STTR Phase I 2016 Department of DefenseAir Force
  8. Heterogeneous Data Discovery Using Deep Neural Networks

    SBC: KickView Corporation            Topic: AF16AT12

    Improving feature extraction, event detection, and target classification in multi-sensor systems requires new mathematical methods and processing techniques. In addition, previous research and experience suggests that leveraging sensor data that has not experienced significant dimensionality reduction can preserve subtle features when processed jointly with other relevant data. However, traditiona ...

    STTR Phase I 2016 Department of DefenseAir Force
  9. High-Speed Measurements of Dynamic Flame Stabilization Processes in High-Pressure Combustion Systems

    SBC: SPECTRAL ENERGIES LLC            Topic: AF16AT13

    The Phase-I effort is to demonstrate high-speed, polarization-based, burst-mode-laser-enabled, dual-plane, stereoscopic PIV (DP-stereo PIV) measurements of turbulent swirling combustion, which allow complete determination of the nine-component velocity g...

    STTR Phase I 2016 Department of DefenseAir Force
  10. Development of Adaptive Closure Models for Large Eddy Simulations of Lean Blow-Out Conditions

    SBC: CFD RESEARCH CORPORATION            Topic: AF16AT14

    Next-generation turbulent combustion models must enable accurate prediction of lean blow-out and flashback for complex geometries, fuels and operating conditions relevant to the Air Force. Improved models are needed to better predict kinetically and hydr...

    STTR Phase I 2016 Department of DefenseAir Force
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