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Award Data

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The Award database is continually updated throughout the year. As a result, data for FY21 is not expected to be complete until September, 2022.

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.

  1. ECCCHO: Effective Combat Casualty Care Handoff Operations

    SBC: Tier 1 Performance Solutions, LLC            Topic: DHA17B002

    Approximately 70% of sentinel events in medical care are related to communication mishaps, and despite regular and frequent occurrence, an even higher percentage (80%) of severe medical errors are related to miscommunication during handoffs (i.e., the transferring of information, responsibility, and authority for patient care from one provider to another). The TiER1 team proposes to address challe ...

    STTR Phase I 2018 Department of DefenseDefense Health Agency
  2. Low-cost production of ultra-low defect GaN-based power electronics

    SBC: Qrona Technologies LLC            Topic: N18AT004

    GaN power semiconductors offer a technological breakthrough for improving the performance of power electronics including power density, conversion efficiency, and reliability of power converters. These are the three most critical requirements for military, aerospace and many commercial applications. In this STTR program, Qrona Technologies will collaborate with the University of Central Florida to ...

    STTR Phase I 2018 Department of DefenseNavy
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. Situational Awareness for Mission Critical Ship Systems

    SBC: IERUS TECHNOLOGIES, INC            Topic: N18AT009

    The US Navy operates a vast fleet of combat and support vessels with complex power control systems under the control and decision authority of human operators. Several current resources such as SPY-1D radar and Vertical Launch System (VLS) and future resources such as railgun, AMDR, and high energy laser (HEL) are energy hungry, exceeding current and planned power generation capability when deploy ...

    STTR Phase I 2018 Department of DefenseNavy
  9. Nondestructive Evaluator for Polymer Ablatives (NEPAL)

    SBC: Intelligent Automation, Inc.            Topic: N18AT011

    Materials for thermal protection are required to protect structural components of space vehicles during the re-entry stage, missile launching systems, and solid rocket motors (SRMs). Polymer resins that have high char retention (e.g., phenolic resins) are the most common matrices in the composite materials for rigid thermal protection systems (TPSs) due to their tunable density, lower cost, and hi ...

    STTR Phase I 2018 Department of DefenseNavy
  10. New Integrated Total Design of Unmanned Underwater Vehicles (UUVs) Propulsion System Architecture for Higher Efficiency and Low Noise

    SBC: Continuous Solutions LLC            Topic: N18AT012

    In this proposal, a meta model-based scaling law will be used to represent each system component. A components meta model-based scaling law describes the tradeoffs between performance metrics for that component or subsystem as a function of its ratings in relation to the system. This greatly reduces the number of degrees of freedom for each component, and at the same time, retains the information ...

    STTR Phase I 2018 Department of DefenseNavy
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