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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. 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
  2. Data Analytics and Machine Learning Toolkit to Accelerate Materials Design and Processing Development

    SBC: CFD RESEARCH CORPORATION            Topic: N19AT020

    Navy has identified refractory high entropy alloy (RHEA) and metal additive manufacturing as two potential areas of interest. This includes designing new RHEA and optimizing metal additive manufacturing with specific material property requirements. Developing materials and processes via applying traditional experimentation and process optimization techniques is painfully slow due to the large numb ...

    STTR Phase I 2019 Department of DefenseNavy
  3. Cubic Boron Nitride Claddings for Friction Stir Tooling

    SBC: Plasma Processes, LLC            Topic: N18AT026

    Friction stir welding (FSW) is an attractive joining method where high strength low porosity welds can be attained. However, the high temperatures and forces required for welding high strength materials like steel require the use of exotic tools. Cubic boron nitride (cBN)-based tools offer attractive tool wear characteristics in steels, but are very costly. Conversely, refractory metal alloys are ...

    STTR Phase I 2018 Department of DefenseNavy
  4. Control & Optimization of Multiple Illumination Characteristics (COMIC) of A Pulsed Fiber Array Laser System For Active Imaging Through Fog

    SBC: MV INNOVATIVE TECHNOLOGIES, LLC            Topic: N18AT021

    Degraded weather conditions particularly, dense maritime fog, reduces the US Fleet EO/IR systems ability to maintain situational awareness and detect/identify and track targets of interest. It is the Navys goal to develop an active EO/IR imaging system that jointly optimizes illumination source properties and implements advanced image processing to improve performance and operational range of curr ...

    STTR Phase I 2018 Department of DefenseNavy
  5. 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
  6. Conformal Array Laser Imager for Bondline Evaluation&Repair (CALIBER)

    SBC: ADVANCED SYSTEMS & TECHNOLOGIES INC            Topic: N13AT011

    The NAVY solicits new non-destructive inspection (NDI) methods to address detection and evaluation of kissing bonds and bondline integrity in aerospace composites since no currently accepted standard exists. In response AS & T Inc. propose, the Conformal Array Laser Imager for Bondline Evaluation and Repair (CALIBER), designed expressly for this purpose. The novelty of the proposed approach lies i ...

    STTR Phase I 2013 Department of DefenseNavy
  7. Concrete Materials Characterization (COMAC)

    SBC: Luminit LLC            Topic: N18AT006

    To meet the U.S. Navy, specifically PMA-201, need for nondestructive evaluation (NDE) of concrete, including evaluating its strength, material properties, and damage localization, Luminit, LLC, and Southern Illinois University (SIU) propose to develop a novel Concrete Materials Characterization (COMAC) system, combining several methods of concrete characterization into a single sensor/software com ...

    STTR Phase I 2018 Department of DefenseNavy
  8. Computerized Robotic Delayering and Polishing System

    SBC: SPECTRAL ENERGIES LLC            Topic: DMEA18B001

    The proposed research and technical objectives in this project deal with computerized automatic delayering and polishing system that would be applicable to both commercial and government semiconductor device research and development with applications including Failure Analysis (FA), Fault Isolation (FI), and Reverse Engineering (RE) of semiconductor microelectronic devices. This project could hel ...

    STTR Phase I 2019 Department of DefenseDefense Microelectronics Activity
  9. Comprehensive Surf Zone Modeling Tool

    SBC: ARETE ASSOCIATES            Topic: N19AT010

    Areté Associates, along with STTR partner Rochester Institute of Technology (RIT), are proposing a comprehensive software capability for scene generation, object insertion, and performance modeling for passive and active EO COBRA sensors over the surf zone. The Surf Zone Modeling Tool (SZT) will incorporate several technologies, including: open-source and Areté-designed SZ ocean physics models, ...

    STTR Phase I 2019 Department of DefenseNavy
  10. Complex Event Detection in Video and Communications

    SBC: SOAR TECHNOLOGY, LLC            Topic: N10AT040

    We will demonstrate the feasibility of detecting tactically meaningful complex events in sensor input streams using an efficient pattern matching technology embodied in the Soar cognitive architecture. Our focus in Phase I will be on video streams, such as those that might be produced by unattended ground sensors or unmanned aerial systems. To reduce risk, we propose devoting a portion of our effo ...

    STTR Phase I 2010 Department of DefenseNavy
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