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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. Additive Manufacturing Plastic Materials with Improved Dielectric Breakdown Strength

    SBC: Printed Performance Innovations            Topic: AF15AT07

    ABSTRACT: Material extrusion 3D printing is an Additive Manufacturing method which utilizes a polymeric monofilanment as a feedstock in the fabrication of 3D objects. The relative simplicity compared to other AM technologies makes it an attractive manufacturing tool, however, characteristics inherent to this 3D printing method (namely air gaps between print rasters) makes it undesirable for the 3D ...

    STTR Phase I 2015 Department of DefenseAir Force
  2. An Experimentally and Numerically Trained Neural Network Co

    SBC: LUNA INNOVATIONS INCORPORATED            Topic: N/A

    The autonomous control of a hypersonic missile from launch to target is a very challenging problem. F&S proposed to use a combination of experiments using MEMS and numeric simulations using CFD, to train a neural net for the control of micro-jets. The trained neural net control system would be able to control a hypersonic missile throughout its flight. Such a system could possibly be used to re ...

    STTR Phase I 1998 Department of DefenseAir Force
  3. A Range Segment Upgrade for Air Force Satellite Control Network with Smart Antennas and Cognitive Satellite Radios

    SBC: INFOBEYOND TECHNOLOGY LLC            Topic: AF14AT16

    ABSTRACT: A range segment upgrade for Air Force satellite control network (AFSCN) will significantly improve system effectiveness via spectrum sharing and seamless interoperation. However, the upgraded system requires new capabilities such as real-time and accurate RF interference detection and mitigation, array antenna backlobe/sidelobe suppressions, accurate performance degradation prediction, ...

    STTR Phase I 2015 Department of DefenseAir Force
  4. Bayesian Fusion of Heterogeneous Data for Unanticipated Event Detection

    SBC: METRON INCORPORATED            Topic: AF16AT12

    Metron, Inc. and Portland State University propose to design, develop, test and demonstrate algorithms that fuse heterogeneous sensor data at an information theoretic level and process these data as detection and tracking algorithms that can identify when new events or targets emerge that are not currently modeled. These algorithms have the potential to provide dramatic improvements in the capabil ...

    STTR Phase I 2016 Department of DefenseAir Force
  5. Biomimetic Design of Morphing Micro Air Vehicles

    SBC: Concepts to Systems Inc.            Topic: AF15AT01

    ABSTRACT: The goal of this STTR is to design micro air vehicles (MAVs) capable of adaptively changing wing geometry utilizing novel active materials that overcome limitations of previous attempts at implementing practical biomimetic multifunctional structures. The basic idea of a morphing aircraft wherein the vehicle changes its shape to optimally perform in multiple flight segments holds the prom ...

    STTR Phase I 2016 Department of DefenseAir Force
  6. Chalcogenide Glass Mid-IR Acylindrical Lens Development

    SBC: IRFLEX CORP            Topic: AF15AT06

    ABSTRACT: Laser source technology in the mid-infrared region, 2um to beyond 10um, is progressing rapidly. Quantum cascade laser (QCL) is one of these new sources, which cover the whole mid-infrared spectrum with high-power and good wall-plug efficiencies. Due to the micron sized and non-circular cross-section of the active region, the laser beam quickly diverges in the direction perpendicular to t ...

    STTR Phase I 2015 Department of DefenseAir Force
  7. Cortical Processing Approaches to Mitigation of Reverberation in Speech

    SBC: IN-DEPTH ENGINEERING CORPORATION            Topic: AF15AT17

    ABSTRACT: Vocal communication in the real world often takes place in complex and noisy acoustic environments. For applications such as mobile communications or use of automated speech/speaker recognition algorithms on recorded data, the presence of noise and reverberation significantly degrades the quality and intelligibility of speech and severely hampers the performance of these systems. Approac ...

    STTR Phase I 2015 Department of DefenseAir Force
  8. CyberSTEPS- Cyber Skills Training with Electronic Performance Support

    SBC: TIER 1 PERFORMANCE SOLUTIONS LLC            Topic: AF16AT08

    There are many challenges in creating Air Force systems that are resilient against cyber threats. The cyber environment and its threats are highly dynamic, requiring practices and training to be dynamic as well. Cyber threats must be considered during th...

    STTR Phase I 2016 Department of DefenseAir Force
  9. Design, Reconfigure, and Evaluate Autonomous Models in Training

    SBC: TIER 1 PERFORMANCE SOLUTIONS LLC            Topic: AF15AT14

    ABSTRACT: The proliferation of autonomous- and human-machine systems necessitates the creation of new tools for system design and evaluation. Key among these are simulation testbeds that support interactions between multiple warfighters and systems, and methods for creating and integrating intelligent agent models into simulation environments. We see a significant opportunity to advance the state ...

    STTR Phase I 2015 Department of DefenseAir Force
  10. DREAMIT- Design, Reconfigure and Evaluate Autonomous Models in Training

    SBC: TIER 1 PERFORMANCE SOLUTIONS LLC            Topic: AF15AT14

    Our Phase I work focused on improving modeling and simulations so that the impact of autonomous systems in the battlespace could be better understood. As we have trained our attention on Phase II, it has become increasingly clear that the work we are doing to improve the modeling and simulation of autonomous systems also provides significant leverage for the development of the intelligent behavior ...

    STTR Phase II 2016 Department of DefenseAir Force
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