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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. 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
  2. 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
  3. Ultra Wideband Receiver (UWR) – Sample Clock Modulation

    SBC: OCEANIT LABORATORIES INC            Topic: AF18CT003

    Modern electronic warfare (EW) employs agile, dynamic, convert waveforms. It has become challenging for legacy electronic intelligence (ELINT) receivers to intercept such waveforms. To cover a wide frequency band, many frequencies must be scanned rapidly. Therefore, the probability of intercepting by the super heterodyne receiver is limited by the intermediate frequency (IF) bandwidth and tuning s ...

    STTR Phase I 2019 Department of DefenseAir Force
  4. Evidence-Based, User-Centered Design Process for Improvement of the Utility of the Surface Electronic Warfare Display Suit

    SBC: PACIFIC SCIENCE & ENGINEERING GROUP, INC.            Topic: N11AT031

    In Naval, surface electronic warfare (EW), visual displays form critical bridges between warfighters and the complex operational radio-frequency (RF) spectrum they must monitor and interpret. Surface electronic warfare operators and supervisors must monitor and interact with multiple, stove-piped display systems in order to perform their work. Further, the visual displays they employ are not desig ...

    STTR Phase II 2018 Department of DefenseNavy
  5. Infectious Disease Diagnostics and Differentiation of Viral vs. Bacterial Infections for Point ofCare Applications

    SBC: GENECAPTURE, INC.            Topic: CBD15C001

    GeneCapture, Inc. is proposing to develop a rapid in vitro diagnostic prototype using our patented molecular-based CAPTURE (ConfirmActive Pathogens Through Unamplified RNA Expression) assay. Based on the results and experience gained in our Phase I STTR contractHDTRA1-16C-0061: Infectious Disease Diagnostics and Differentiation of Viral vs. Bacterial Infections for Point of Care Applications, we p ...

    STTR Phase II 2018 Department of DefenseOffice for Chemical and Biological Defense
  6. Large Eddy Simulation (LES) Flow Solver Suitable for Modeling Conjugate Heat Transfer

    SBC: Kord Technologies, Inc.            Topic: N19BT027

    Accurate prediction heat transfer in gas turbine components subject to cooling requires high fidelity modeling of heat transfer in the presence of high Reynolds number turbulent flow. The cooling internal to the blades results in sustained temperature gradients within the structural parts, from low temperature in the interior of the structure to increasingly higher temperature closer to the surfac ...

    STTR Phase I 2019 Department of DefenseNavy
  7. Conjugate heat transfer for LES of gas turbine engines

    SBC: CASCADE TECHNOLOGIES INC            Topic: N19BT027

    Current design tools for gas turbine engines invoke a variety of simplifying assumptions to estimate heat transfer to solid/metal engine components (e.g., isothermal boundary conditions). These approximations are often not valid, result in inaccurate predictions of heat transfer, and ultimately compromise the thermal integrity of propulsion and power systems. Wall-modeled large eddy simulation (WM ...

    STTR Phase I 2019 Department of DefenseNavy
  8. AI-Driven, Secure Navy Mission Planning via Deep Reinforcement Learning and Attribute-Based Multi-Level Security

    SBC: E H Group, Inc.            Topic: N19BT029

    Current mission planning systems allow strike planners and operations centers to perform time-sensitive strike planning, execution monitoring, and validate mission effects using XML-based tools that visualize time critical attack plan and track plan status vs. execution. In this proposed STTR Phase I design for the Next Generation Navy Mission Planning (NGNMPS) system, we will identify expanded op ...

    STTR Phase I 2019 Department of DefenseNavy
  9. POC Blood Coagulopathy Monitor

    SBC: CFD RESEARCH CORPORATION            Topic: DHA19A001

    Traumatic injuries account for 30% of all life years lost in the US and is the leading cause of death for people under 46 years of age. Uncontrolled bleeding or hemorrhage constitute 30-40% of trauma related deaths and are considered to be a major cause o

    STTR Phase I 2019 Department of DefenseDefense Health Agency
  10. Data Science Techniques for Various Mission Planning Processes and Performance Validation

    SBC: Perceptronics Solutions, Inc.            Topic: N19BT029

    Mission and planning is a difficult and time-consuming process that places a heavy burden on manpower and critical thinking and is performed under significant pressure. Existing and emerging artificial intelligence (AI) and machine learning (ML) techniques are well-suited to assisting humans with these challenges. While the promise of AI/ML is great, there are significant obstacles to operationali ...

    STTR Phase I 2019 Department of DefenseNavy
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