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Award Data

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The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.

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. Deep Machine learning for risk Analysis and Prediction (D-MAP) in supply chains

    SBC: Intelligent Automation, Inc.            Topic: MDA16T002

    Globalization and digitization have been driving the recent economic growth at the expense of raising the risk level in the supply chain related to fraud, security, and safety, while current practice of supply chain management and risk assessment is lagging far behind. Therefore, commercial industries and government agencies are seeking advanced supply chain risk assessment solutions, which can ef ...

    STTR Phase II 2018 Department of DefenseMissile Defense Agency
  2. Fine Powder Cathode and Separator Binder Characterization for Thermal Batteries

    SBC: CFD RESEARCH CORPORATION            Topic: MDA16T001

    Fine powder thermal battery cathode materials can exhibit challenging flow properties which makes processing with automated presses difficult.Granulating these powders can substantially improve flow properties and reduce the tendency for powder segregation during handling and pressing operations.Additionally, the properties of MgO that lead to good performance in thermal battery separators are not ...

    STTR Phase II 2018 Department of DefenseMissile Defense Agency
  3. Novel Separator Materials for Achieving High Energy/Power Density, Safe, Long-Lasting Lithium-ion Batteries for Navy Aircraft Applications

    SBC: ADA TECHNOLOGIES, INC.            Topic: N16AT008

    To meet Navy needs for high performance and safe lithium ion (Li-ion) batteries for naval aircraft, ADA Technologies Inc. (ADA) and its university collaborator propose to optimize and transfer a highly tunable, high performance and safe, block copolymer derived nanoporous separator. The innovative strategy provides a powerful tool to allow exquisite tuning of performance and safety features of the ...

    STTR Phase II 2018 Department of DefenseNavy
  4. Novel Separator Materials for Achieving High Energy/Power Density, Safe, Long-Lasting Lithium-ion Batteries for Navy Aircraft Applications.

    SBC: OCEANIT LABORATORIES INC            Topic: N16AT008

    Oceanit proposes to develop and demonstrate novel, tailored, designer separator materials with optimized properties to maximize lithium-ion cell/battery performance, life, safety and reliability.

    STTR Phase II 2018 Department of DefenseNavy
  5. Fully Encapsulating Dielectrics for Gaseous Helium Cooled Superconducting Power Cables

    SBC: ADVANCED CONDUCTOR TECHNOLOGIES LLC            Topic: N16AT011

    The proposed program will develop dielectrics for dc superconducting power transmission cables that are cooled with cryogenic helium gas. The Dielectrics will be sealed again helium gas penetration and allow for an operating voltage of 12 kV in a pressure of 2 MPa at 50 K. The dielectrics will be designed for use with all helium facing components of power transmission systems based on CORC cables. ...

    STTR Phase II 2018 Department of DefenseNavy
  6. Small Team Command, Control, Communications and Situational Awareness (C3SA), SOCOM08-001

    SBC: CEEBUS TECHNOLOGIES, LLC            Topic: SOCOM08001

    SOF combat swimmers have a need for the continuous monitoring of each others relative position while diving and for the capability of being able to communicate with each other to help establish a common operational picture (COP).The C3SA system was previously developed under SBIR Topic SOCOM08-001 thru the receipt of both Phase I and Phase II SBIR awards.The C3SA established a stand-alone network ...

    STTR Phase II 2018 Department of DefenseSpecial Operations Command
  7. Rydberg-atom RF Sensors for Direction Finding and Geolocation

    SBC: COLDQUANTA, INC.            Topic: AF17AT028

    ColdQuanta is partnering with Dr. Zoya Popovic at the University of Colorado, Boulder, to develop a three-dimensional quantum-enhanced radio-frequency (RF) signal sensor and direction finder. Our approach combine 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 electrometer will ...

    STTR Phase I 2018 Department of DefenseAir Force
  8. Disposal of Aqueous Film-Forming Foam using Hydrodynamic Cavitation

    SBC: DYNAFLOW, INC.            Topic: AF17BT001

    The widespread use of Aqueous Film Forming Foams (AFFF) at DOD facilities for firefighting, training, and fire suppression systems has resulted in numerous contamination sites. The perfluoroalkyl (PFA) compounds used in the AFFF, such as perfluoroalkyl sulfonates (PFOS) and perfluoroalkyl carboxylic acids (PFOA) are extremely stable in the environment and have been shown to be resistant to typical ...

    STTR Phase I 2018 Department of DefenseAir Force
  9. Closed-Loop Feedback Control for Transcranial Direct Current Stimulation

    SBC: QUANTUM APPLIED SCIENCE & RESEARCH INC            Topic: AF17BT002

    Because of rising demand for human analysts and more efficient processing of increasingly large and challenging amounts of intelligence, human limitations on mental workload, cognitive fatigue, and attentionor task engagement, need to be accurately monitored in real-time in order to provide sensitive detection of impaired cognitive states. It is a challenge to continuously monitor these cognitive ...

    STTR Phase I 2018 Department of DefenseAir Force
  10. Directional Cross-Layer Networking Solution

    SBC: FUSE INTEGRATION, INC.            Topic: AF17BT003

    Currently networks are not taking advantage of the inherent benefits of high multi-beam directional networking. For example, the current MADL implementation simply daisy chains the nodes in the network creating multiple single points of network failure (of course retaining self-healing properties.) The Fuse Directional Cross-Layer Networking Solution (DCLNS) optimized architecture features a robus ...

    STTR Phase I 2018 Department of DefenseAir Force
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