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Award Data

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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. Compact Thermal Management System for Laser Systems

    SBC: SPECTRAL ENERGIES LLC            Topic: N18AT001

    The use of laser technologies and high-power electronics is rapidly being incorporated into tactical platforms for imaging, target designation, and range finding. Electronic equipment including lasers demand power from a tactical aircraft and produce large amounts of thermal energy as a waste product. Current thermal management technologies will not be sufficient for future aircraft as thermal man ...

    STTR Phase I 2018 Department of DefenseNavy
  2. Hot Filament CVD technology for disruptive, high-throughput SiC epitaxial growth reactors

    SBC: TRUENANO, INC.            Topic: N18AT004

    TrueNano, Inc. will in collaboration with the University of Colorado and industry partners, develop a novel single-wafer, high-throughput hot filament CDV reactor for the growth of high quality silicon carbide (SiC) epitaxial layers, suitable for the next generation of power electronic devices and systems. This includes the design and simulation of the reactor, the development of a throughput mode ...

    STTR Phase I 2018 Department of DefenseNavy
  3. Development of Large Area GaN Substrates for Vertical Power Electronics

    SBC: KYMA TECHNOLOGIES, INC.            Topic: N18AT004

    This program will further the development of large area freestanding GaN substrates (>100mm) and develop a bulk GaN substrate characterization protocol to help reduce the variability in GaN homoepitaxial growth results which have prevented low cost, high voltage, vertical GaN power devices from being realized in an economically viable way.

    STTR Phase I 2018 Department of DefenseNavy
  4. Autonomous Navigation for the Hull Bug Ship Hull Grooming System

    SBC: SEAROBOTICS CORPORATION            Topic: N18AT020

    The underpinning science and sensing associated with autonomous navigation is advancing on numerous fronts. The navigation capability required for ship hull grooming in a low visibility environment is a natural application of this technology. Enormous benefit will be realized in the public and private sectors of the shipping industry. The economic and environmental impact realized using proactive ...

    STTR Phase I 2018 Department of DefenseNavy
  5. Information-based Norms on Flow, Operations, and Traffic Over Networks (INFOTON)

    SBC: ISEA TEK, LLC            Topic: N18AT027

    The Internet of Things (IoT) connects people, data, and "things" (e.g., software, sensors, platforms), facilitating the translation of information into actions. Although naval platforms’ networks and communication suites have evolved significantly in the past few years to support such required connectivity, one of the greatest technical challenges still facing the military community is the proce ...

    STTR Phase I 2018 Department of DefenseNavy
  6. High Throughput Testing of Additive Manufacturing

    SBC: CORVID TECHNOLOGIES, LLC            Topic: N18AT028

    Additive manufacturing (AM) fills a technical need for the US Navy to produce on-site, on-demand, cost efficient parts. However, the lack of established procedures for AM machines and processes introduces significant variability in their mechanical behavior. A high throughput method is needed to characterize the variability in the mechanical properties of AM materials using large statistics. To me ...

    STTR Phase I 2018 Department of DefenseNavy
  7. High Throughput Static and Dynamic Testing of AM Materials for Uncertainty Quantification and Qualification

    SBC: MRL MATERIALS RESOURCES LLC            Topic: N18AT028

    Qualification of additively manufactured parts is hampered by the inherent uncetainty in properties due to heterogeneity in processing, microstructure, and defects. The proposed effort combines high-throughput testing of static and dynamic properties using tailored sample geometry, fixture design, and load application method with microstructure quantification and analysis. This system will drastic ...

    STTR Phase I 2018 Department of DefenseNavy
  8. 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
  9. 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
  10. Situational Awareness for Mission Critical Ship Systems using Probabilistic Knowledge Graph

    SBC: INTELLIGENT FUSION TECHNOLOGY, INC.            Topic: N18AT009

    This effort proposes to develop situational awareness methodologies for mission critical ship system based on the state-of-the-art probabilistic knowledge graph (KG) and deep learning. The proposed KG approach can incorporate various data fusion technologies for analysis of unstructured data (text, images, etc.) and structured data (signal feeds, database items, etc.) for automated decision suppor ...

    STTR Phase I 2018 Department of DefenseNavy
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