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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. Blended Reality Solution for Live, Virtual, and Constructive Field Training

    SBC: MIKE SUTTON CONSULTING INC            Topic: AF17AT011

    The proposed Small Business Technology Transfer (STTR) Phase I project will determine the technical feasibility and cost-effectiveness of utilizing emerging blended-reality technologies that enable interoperability with LVC simulations to create more effective and comprehensive Battlefield Airmen training environments. The proposed training technologies will be integrated across multiple platforms ...

    STTR Phase I 2017 Department of DefenseAir Force
  2. Spatiotemporally Resolved Infrared Spectroscopy in High-Pressure Turbulent Combustors

    SBC: TRUVENTIC LLC            Topic: AF16AT15

    The US Air Force requires quantitative spatially and temporally resolved measurements of key rate-controlling intermediate species in reacting flows at elevated pressures for Air Force advanced propulsion systems. Such information is critically needed fo...

    STTR Phase I 2016 Department of DefenseAir Force
  3. Spiral: A Framework for Chaotic Sensitivity Analysis and Optimization

    SBC: Lateral Unbounded Software LLC            Topic: AF17AT017

    Computational design is encountering barriers due to chaotic dynamics. The characteristic unpredictability, aperiodicity, and sensitivity to initial conditions in chaotic dynamics requires computationally costly time-dependent analysis. Computationally costly analysis precludes sampling-based optimization, indicating that chaotic systems would significantly benefit from gradient-based optimization ...

    STTR Phase I 2017 Department of DefenseAir Force
  4. Amplitude and Polarization High-speed Image Display (APHID) for characterizing invertebrate vision

    SBC: BOULDER NONLINEAR SYSTEMS, INC.            Topic: AF17AT021

    In partnership with the Strausfeld Lab at the University of Arizona, BNS proposes to develop an Amplitude and Polarization High-speed Image Display (APHID) based on our previous VIS/NIR Hyperspectral Image Projector (HIP) design. Using BNS-developed liquid crystal (LC) spatial light modulators (SLMs), this display will provide high-speed multispectral wide-field visual stimulus to invertebrates ov ...

    STTR Phase I 2017 Department of DefenseAir Force
  5. Coupled Multi-Physics Tool for Analysis of Structural Profile Disruption Effects of Aerovehicles

    SBC: CFD RESEARCH CORPORATION            Topic: AF17AT025

    High speed air vehicles, already operating at material strength performance limits, are at significant risk when subjected to additional localized heating from sources such as directed energy. This localized heating may result in material softening, pitting and burn through causing structural damage and alteration of the structural profile. This damage can disrupt the aerodynamic performance and ...

    STTR Phase I 2017 Department of DefenseAir Force
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
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