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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. 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
  2. On Demand Energy Activated Liquid Decontaminants and Cleaning Solutions

    SBC: TDA RESEARCH, INC.            Topic: A12AT005

    On-site activated decontaminants will revolutionize chemical and biological decon because the activated solution is produced on demand, without the limitations of traditional pre-made mixtures. TDAs system uses electrical activation to convert battery power into reactive chemicals that quickly destroy chemical and biological warfare agents. Prior to activation, the decontaminant mixture can be saf ...

    STTR Phase II 2018 Department of DefenseArmy
  3. Anisotropic Property Manipulation of Selective Laser Melted GRCop-84

    SBC: SPECIAL AEROSPACE SERVICES            Topic: AF18AT009

    In partnership with the Colorado School of Mines Alliance for the Development of Additive Processing Technologies and with support from the Johns Hopkins University Energetic Research Group, Special Aerospace Services will provide the Air Force with characterization of fully dense Selective Laser Melted GRCop-84 subjected to a variety of manipulations that affect key performance metrics for regene ...

    STTR Phase I 2018 Department of DefenseAir Force
  4. Multiscale Fast and Distributed Data and Statistics Summarization

    SBC: Intelligent Automation, Inc.            Topic: A17AT010

    Over the last decade the amount of data available from the internet, sensors and other sources has grown dramatically providing the opportunity to gain novel insights in many fields. Uncovering non-linear low dimensional structure in high-dimensional data (i.e., manifold learning), a key to summarization, remains a challenging problem which ultimately inhibits knowledge discovery. Intelligent Auto ...

    STTR Phase II 2018 Department of DefenseArmy
  5. Ignition Modeling for Present and Future Combustors and Augmentors

    SBC: COMBUSTION SCIENCE & ENGINEERING, INC.            Topic: N17AT003

    The ability to predict the ignitibility potential of a combustor at various operating conditions is not practical at this time due to the complexity of this process. Ignition within a gas turbine combustor is dependent on various parameters; including spark (or plasma) energy, flow conditions, fuel/air ratio, and fuel spray density. All these parameters must be properly predicted in order to effec ...

    STTR Phase II 2018 Department of DefenseNavy
  6. ADA Conformable Wearable Battery-Hybrid Electrical Energy Storage System: A Rechargeable, Safe and High Performance Energy Storage Solution

    SBC: ADA TECHNOLOGIES, INC.            Topic: A15AT010

    ADA Technologies, Inc. proposes to transition our previously developed BB-2590 Hybrid Electrical Energy Storage System (HEESS) architecture into a Conformable Wearable Battery format, or CWB-HEESS (Figure 1). We seek to satisfy a meaningful, Army Program Executive Office (PEO) Soldier need for a rechargeable, safe and high energy CWB. We anticipate the CWB-HEESS will have broad U.S. Dept. of Defen ...

    STTR Phase II 2018 Department of DefenseArmy
  7. Additive Manufacturing Sensor Fusion Technologies for Process Monitoring and Control.

    SBC: ARCTOS Technology Solutions, LLC            Topic: DLA18A001

    Universal Technology Corporation (UTC) has teamed with the University of Dayton Research Institute (UDRI), Stratonics, and Macy Consulting to demonstrate not only the transitionability into commercial systems, but also to develop the data analytics and monitoring and control requirements to extract the full value fromseveral sensors, including the Stratonics ThermaViz, acoustic and profilometry se ...

    STTR Phase I 2018 Department of DefenseDefense Logistics Agency
  8. ORION: Operational Robot with Intelligent Off-road Navigation

    SBC: Intelligent Automation, Inc.            Topic: A17AT019

    For Robotic/Autonomous Systems (RAS) to be truly effective in the battlefield, they need to be integrated with intelligent decision-making capabilities. In particular, the following capabilities will help them dealing with the challenging real-world problems of off-road navigation: 1) Accurate terrain traversability assessment; 2) Optimal trajectory computation; and 3) Effective maneuver selection ...

    STTR Phase II 2018 Department of DefenseArmy
  9. Phase-Change Materials for Tunable Infrared Devices

    SBC: PLASMONICS INC            Topic: N17AT020

    There is a critical need for the development of dynamic IR materials that can be used to form device level components and systems necessary for mid to long wave infrared (3-12 µm) applications. To meet these future needs, the team proposes to develop tunable optical elements based around metamaterial surfaces or metasurfaces. Metasurfaces are a class of engineered materials where arrays of sub-wa ...

    STTR Phase II 2018 Department of DefenseNavy
  10. Development lightmap rendering technology to advance infrared simulation capabilities for training applications

    SBC: CORNERSTONE SOFTWARE SOLUTIONS INC            Topic: AF17AT012

    Recent technology advances have enabled the simulation community to achieve greater realism in virtual training environments, including physics-based simulated sensor views. As new methods for sensor view generation are developed, the lack of readily available supporting data to populate these specialized techniques limits their implementation. Currently the capability is not available to efficien ...

    STTR Phase II 2018 Department of DefenseAir Force
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