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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. Coupled Multi-Physics Tool for Analysis of Structural Profile Disruption Effects of Aerovehicles

    SBC: CFD RESEARCH CORPORATION            Topic: AF17AT025

    High speed air vehicles operate at material strength performance limits and are at significant risk when subjected to additional localized heating that can result in softening, pitting and burn-through the material and potentially change the vehicle structural profile. These effects degrade aerodynamic performance. The team of CFDRC and UDRI proposed to develop, validate and deliver a comprehensiv ...

    STTR Phase II 2018 Department of DefenseAir Force
  2. Target Tracking via Deep Learning

    SBC: Systems & Technology Research LLC            Topic: AF17AT027

    To address the challenge of long-term tracking, through extended occlusions and significant appearance changes, we propose to continue developing DC-CAT, a Deep Convolutional neural network (CNN) based Confuser-Aware high value target (HVT) Tracker.The DC-CAT system combines a state-of-the-art CNN-based adaptive HVT tracker with a CNN-based pre-trained generic target detector, in a deep-feature-ai ...

    STTR Phase II 2018 Department of DefenseAir Force
  3. Multi-Physics Models for Parachute Deployment and Braking

    SBC: CMSOFT, INC.            Topic: AF18AT004

    The main objective of this STTR Phase I effort is two-fold. First, to develop a robust approach for coupling the flow solver Kestrel with the multidisciplinary software tool AERO Suite in order to enable the physics-based modeling and simulation of the dynamics of Aerodynamics Decelerator Systems (ADS) such as parachutes from deployment to terminal velocity or terminal descent and touchdown, and t ...

    STTR Phase I 2018 Department of DefenseAir Force
  4. Rydberg-atom RF Sensors for Direction Finding and Geolocation (RADARS)

    SBC: COLDQUANTA, INC.            Topic: AF17AT028

    ColdQuanta, in partnership with Dr. Zoya Popovic at the University of Colorado at Boulder, proposes to develop a three-dimensional quantum-enhanced radio-frequency (RF) signal sensor and direction finder. Our approach combines Rydberg-atom-based RF electrometry and discrete lens arrays (DLAs) of planar antennas. The DLA will serve as a Fourier optic for an incident wave, and a Rydberg-atom RF elec ...

    STTR Phase II 2018 Department of DefenseAir Force
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