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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. AI-Driven, Secure Navy Mission Planning via Deep Reinforcement Learning and Attribute-Based Multi-Level Security

    SBC: EH 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
  2. HIGH STRENGTH, WATER-FILLED CERAMIC NANOCOMPOSITE MICROCAPSULES WITH LOW PERMEABILITY FOR SELF-SEALING FUEL BLADDERS

    SBC: NANOSONIC INC.            Topic: N19BT030

    During the proposed Navy STTR program, NanoSonic and Virginia Tech will design and synthesize innovative, high strength ceramic nanocomposite microcapsules filled with > 80 volume percent water that are empirically optimized to function as readily dispersed powdered additives with long-term water retention, durability during air craft bladder production, and rupture during ballistic shock. NanoSon ...

    STTR Phase I 2019 Department of DefenseNavy
  3. Robust, Low Permeability, Water-Filled Microcapsules

    SBC: LUNA INNOVATIONS INCORPORATED            Topic: N19BT030

    The Navy is actively developing a self-sealing, water-activated fuel bladder to mitigate fuel leaks upon mechanical shock (e.g. penetration by a .50 caliber bullet). To circumvent the requirement of an external water source to activate the self-sealing, this system will require water-filled microcapsules that can be incorporated directly into the polymeric matrix of the fuel bladder. Upon mechanic ...

    STTR Phase I 2019 Department of DefenseNavy
  4. Tools for Implementing Speech Agents in Crew Resource Management Training Systems

    SBC: OPTIMAL SYNTHESIS INC.            Topic: N17AT010

    Crew resource management training systems are often constrained by the high cost and lack of flexibility in coordinating a large group of human role players for part-task training. Motivated by the recent maturation of the speech synthesis and recognition technologies, speech-enabled crew role-player agents are being introduced to address these limitations. However, difficulties remain in customiz ...

    STTR Phase II 2019 Department of DefenseNavy
  5. Low Cost Magnetic Sensor for Mine Neutralizer Identification and Charge Placement

    SBC: QUSPIN INC.            Topic: N17AT013

    Optically pumped magnetometers provide very high performance but they cost tens of thousands of dollars, and they are large and power hungry. Recently we successfully developed and commercialized laser pumped magnetometers with size, weight and power consumption that is an order of magnitude below current state-of-the-art without sacrificing performance. In this project, the focus will be on produ ...

    STTR Phase II 2019 Department of DefenseNavy
  6. Electro-Optic Transmissive Scanner

    SBC: ULTIMARA INC            Topic: N17AT001

    The goal of this program is to develop and construct a thin, light weight, low power, large aperture, electro-optic (EO) transmissive scanner that utilizes electro-optically active nanomaterial structures, suitable for UAV’s platform. The nano-material beam-steering technology aperture system offers an ultra-thin Size, Weight, and Power (SWAP) to fit on UAV’s airframe and achieve ultrafast and ...

    STTR Phase II 2019 Department of DefenseNavy
  7. Prediction of Rotor Loads from Fuselage Sensors for Improved Structural Modeling and Fatigue Life Calculation

    SBC: TECHNICAL DATA ANALYSIS, INC.            Topic: N17AT009

    Phase I addressed the technological gap in the predictive capabilities of CFD/FSI in the context of hybrid loads/sensor models used in an aircraft’s fatigue life tracking program for critical fuselage and dynamic components across the full flight regime. It demonstrated these technology advancements: (1) a combined rotor, fuselage aeroelastic model; (2) empirical rotor hub loads prediction from ...

    STTR Phase II 2019 Department of DefenseNavy
  8. Physics-based Computationally Efficient Spray Combustion Models for LES of Multiphase Reacting Flows

    SBC: CFD RESEARCH CORPORATION            Topic: N17AT002

    One important challenge for the reliable prediction of liquid fuel effects on the combustion in aviation combustors and augmentors is the accurate modeling of underlying physical processes, involving the evaporation of fuels, preferential vaporization, scalar mixing and ignition. LES methodologies are required to accurately capture these transient and inherently unsteady combustion processes. In t ...

    STTR Phase II 2019 Department of DefenseNavy
  9. High Density Capacitors for Compact Transmit and Receive Modules

    SBC: Bioenno Tech, LLC            Topic: N17AT011

    Development of high-energy-density, low-loss capacitors for power conversion/conditioning systems is an enabling technology to achieve the objective of reducing size, weight, and cost of transmit and receive (T/R) modules in modern radar and electronic warfare transmitters. Among capacitor technologies available, multilayer ceramic capacitors (MLCCs) are receiving more attentions. At present, howe ...

    STTR Phase II 2019 Department of DefenseNavy
  10. Integrated learning-based and regularization-based super resolution for extreme MWIR image enhancement

    SBC: OPTO-KNOWLEDGE SYSTEMS INC            Topic: N17AT016

    OKSI and Northwestern University propose to develop a single-image super-resolution (SR) methodology for mid-wave infrared (MWIR) imagery that combines learning-based and regularization-based approaches to produce extreme enhancement of low-resolution images. We will also develop a detector-limited imaging system specifically designed to be used with the SR methodology for which even higher levels ...

    STTR Phase II 2019 Department of DefenseNavy
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