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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. Development of Precision Alignment Techniques for Millimeter Wave Sources

    SBC: DYMENSO LLC            Topic: N20AT013

    High power generation at millimeter wave (mm-wave) frequencies is expensive and the concurrent need for wide bandwidths at these frequencies creates an extremely challenging problem. Currently the most stringent requirements for mm-wave power and bandwidth can only be practically met by vacuum electronics (VE) technology. At present, vacuum amplifiers with the required performance are prohibitivel ...

    STTR Phase I 2020 Department of DefenseNavy
  2. Machine Learning for Simulation Environment

    SBC: Arete Associates            Topic: N20AT014

    Areté and the Machine Learning for Artificial Intelligence (MLAI) Lab at the University of Arizona (UofA) will develop an interactive scenario building tool capable of generating realistic synthetic 360° videos in real-time for use in training simulators for periscope operators .  We refer to this solution as RealSynth360.  This novel capability will be created by combining the latest advances ...

    STTR Phase I 2020 Department of DefenseNavy
  3. An Acoustic Device for Real-Time Monitoring for Decompression Sickness

    SBC: DYNAFLOW, INC.            Topic: N21AT013

    Decompression sickness (DCS) can occur during rapid pressure changes such as when a diver ascends rapidly or during high altitude flights. Rapid decompression can causes gases dissolved in body fluids and tissues to come out of solution and form bubbles. The symptoms of DCS include painful joints, neurological dysfunction, dermal effects, and cardiopulmonary collapse. Currently, divers rely on dec ...

    STTR Phase I 2021 Department of DefenseNavy
  4. Self-Healing Ship Systems

    SBC: RAM LABORATORIES            Topic: N21AT014

    As modern-day ships require more advanced applications and systems to run directly on the vessel, they require large amounts of computational resources to execute the complex software and algorithms.  While these next generation capabilities provide immense value, the downside is that now the compute servers and clusters required to support these capabilities become single points of failure. To c ...

    STTR Phase I 2021 Department of DefenseNavy
  5. KG-KISS: Knowledge and Information Sharing System with Knowledge Graph

    SBC: INTELLIGENT FUSION TECHNOLOGY, INC.            Topic: N21AT016

    In order to facilitate collaborative decision-making during modern surface warfare situations, locally learned knowledge among sailors and warfighters must be shared effectively in a timely manner. Current Naval approaches for collecting and sharing knowledge are inefficient and inflexible, as new contents are examined over extended timelines with no ability to dynamically update the knowledge bas ...

    STTR Phase I 2021 Department of DefenseNavy
  6. Design of a High-Temperature Acoustic Liner for Enhancement of Detonation Wave Dynamics in a Lab-Scale Rotating Detonation Combustor

    SBC: HYSONIC TECHNOLOGIES, LLC            Topic: N21AT011

    HySonic Technologies, founded by Dr. Carlo Scalo, addresses this call by combining its capabilities in design of acoustically absorptive high-temperature materials with Dr. Carson Slabaugh’s (Purdue University) well-established expertise in designing and testing of Rotating Detonation Combustors (RDC) at various scales. HySonic’s history in the design of acoustically absorptive material relies ...

    STTR Phase I 2021 Department of DefenseNavy
  7. PARTEL: Periscope video Analysis using Reinforcement and TransfEr Learning

    SBC: MAYACHITRA, INC.            Topic: N20AT007

    We propose a suite of video processing algorithms utilizing the machine learning (ML) techniques of artificial intelligence (AI) reinforcement learning, deep learning, and transfer learning to process submarine imagery obtained by means of periscope cameras. Machine learning (ML) can help in addressing the challenge of human failure of assessing the data of periscope imagery. Though pre-tuned blac ...

    STTR Phase I 2020 Department of DefenseNavy
  8. Frequency and Phase Locking of Magnetrons Using Varactor Diodes

    SBC: CALABAZAS CREEK RESEARCH, INC.            Topic: N20AT015

    Magnetrons are compact, inexpensive, and highly efficient sources of RF power used in many industrial and commercial applications. For most of these applications, the requirement is for RF power without regard to precise frequency or phase control, and noise riding on the RF signal is not important. For many accelerator, defense, and communications applications, however, these characteristics prev ...

    STTR Phase I 2020 Department of DefenseNavy
  9. Advanced Electromagnetic Modeling and Analysis Tools for Complex Aircraft Structures and Systems

    SBC: HYPERCOMP INC            Topic: N20BT028

    Under this STTR solicitation N20B-T028, the goal is to build on the strengths of HyPerComp’s development in the HDphysics suite of tools to meet NAVAIR’s requirements in solving large-scale problems in electromagnetics.  One area that will receive a major attention in this effort is the development of high order curved meshes for arbitrary geometries with small- and large-scale features that ...

    STTR Phase I 2020 Department of DefenseNavy
  10. High Efficiency Propeller for Small Unmanned X Systems using Advanced Composite Materials

    SBC: CATTO PROPELLERS            Topic: N20AT006

    In the proposed STTR study, Catto Propellers, Inc. (Catto) and the University of North Dakota (UND) will create an efficient new propeller design utilizing advanced composite materials for use on small unmanned x systems.  During Phase I, a comprehensive study will be conducted to develop a new propeller design in order to increase propeller efficiency, reduce aerodynamic noise and utilize innova ...

    STTR Phase I 2020 Department of DefenseNavy
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