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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. LeastProtocol: Minimizing Attack Surface by Removing Unwanted Protocol Features

    SBC: TRAIL OF BITS INC            Topic: N18AT018

    Standard protocols such as SSL, SSH, etc. are implemented as one-size-fits-all libraries. To maximize compatibility, these libraries implement rarely used features that increase attack surface. Examples include the SSL Heart Beat feature (HeartBleed) and weak SSH ciphers (LOGJAM).The Navy would like to reduce software attack surface by removing unused protocol features. Our proposal, LeastProtocol ...

    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 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
  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. 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
  9. Power and Propulsion System Optimization

    SBC: CORNERSTONE RESEARCH GROUP INC            Topic: N18AT012

    Unmanned underwater vehicles (UUVs) are currently limited in the type of missions they can perform. Limited available power limits which sensors can be run or for how long, and also limits the duration and range of the mission. More efficient propulsion systems would increase the power available to the UUV payload. Improved power distribution systems and control systems would also increase the ava ...

    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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