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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 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. Optimized Energy-Attenuating Seat Design for Ground Vehicles

    SBC: Corvid Technologies LLC            Topic: N20AT001

    Corvid Technologies, LLC (Corvid) and the University of Virginia Center for Applied Biomechanics (UVA-CAB) propose to develop finite element models of mounted warfighters to evaluate injury risk in underbody blast (UBB) loading events and utilize these models to improve the performance of energy-attenuating (EA) seat safety. The proposed approach will utilize a high-fidelity computational physics- ...

    STTR Phase I 2020 Department of DefenseNavy
  2. EA Seat Optimization Platform: Biofidelic tool for model-informed EA device design

    SBC: Luna Innovations Incorporated            Topic: N20AT001

    Ground vehicle underbody blast events pose a significant threat to warfighters; therefore, there is a need to develop energy attenuating (EA) seats to mitigate these injuries. Many of the current technologies were primarily designed for the 50th percentile male. To address this critical need, Luna Innovations will investigate how anthropometric variability and changes in posture affect injury, dev ...

    STTR Phase I 2020 Department of DefenseNavy
  3. Geometry-Perfect CEM Design and Analysis Software for Aircraft Systems

    SBC: IERUS TECHNOLOGIES, INC            Topic: N20BT028

    Performing accurate simulations of large- and multi-scale electromagnetics problems has far-reaching implications in a variety of engineering and scientific disciplines. The same physics governs a diversity of applications including problems of importance for NAVAIR such as complex radome-antenna and antenna-platform interactions.  Such simulation problems involve complex materials, multiple feed ...

    STTR Phase I 2020 Department of DefenseNavy
  4. Investigation of Radiation Effects in Advanced Microelectronic Devices for developing predictive models of degradation

    SBC: CFD Research Corporation            Topic: 20A001

    Radiation effects in microelectronic components are a significant concern for the reliability of DoD systems that operate at high altitudes or in outer space. Typical characterization efforts focus on macroscale degradation signatures from electrical measurements at device terminals. However, a comprehensive analysis of radiation-induced physical defects is not possible based solely on terminal me ...

    STTR Phase I 2020 Department of DefenseDefense Microelectronics Activity
  5. Electromagnetic Interference Resilient, Low Noise Figure, Wide Dynamic Range of Radio Frequency to Photonic Link

    SBC: Srico Inc            Topic: N20AT012

    SRICO proposes to develop a compact, high-performance, electromagnetic interference (EMI) and high-power microwave (HPM) resilient radio frequency photonic link for compact antenna remoting in US Navy submarine electronic warfare applications. EMI and HPM resilience are achieved by optically isolating the pick-up radio frequency (RF) antenna and optical transmitter from the photoreceiver. The opti ...

    STTR Phase I 2020 Department of DefenseNavy
  6. Intelligent & Secure Probing for Embedded Condition and Threat Monitoring (INSPECT-M)

    SBC: Luna Innovations Incorporated            Topic: N20AT011

    The United States Navy is currently developing Condition Based Maintenance Plus (CBM+) concepts and technologies in order to improve the readiness and availability of Department of Defense assets by maximizing efficiency and reducing the life-cycle maintenance costs through data-driven decisions. A secure CBM+ sensor node has the potential to reduce the number of machine overhauls, shorten the tim ...

    STTR Phase I 2020 Department of DefenseNavy
  7. Fully Automated Quantum Cascade Laser Design Aided by Machine Learning with up to 100X Design Cycle Time Reduction

    SBC: IRGLARE, LLC            Topic: N20AT003

    A Quantum Cascade Laser's (QCL) core material is a series of nanometer scale layers of conduction band barrier and well materials designed to induce lasing electron energy levels. The key design feature of a QCL is the ability to repeat the laser core superlattice design to cascade electrons through the superlattice repetitions by repeated stimulated emission. Such designs are generally carefully ...

    STTR Phase I 2020 Department of DefenseNavy
  8. Dual Stage Integrated Cyclone (DSIC) Geometry for Sea Chest Water Management System


    Current Zumwalt Class destroyers (DDG 1000) sea chest openings are unique because they must be flush to the hull, limiting implementation of common sea chest designs (e.g., bubble shields or raised inlets). This design results in the ingestion of higher amounts of ice, debris, and air, resulting in increased maintenance costs, potential pump failure, and degraded overall cooling performance. The N ...

    STTR Phase I 2020 Department of DefenseNavy
  9. Environmental Vibration Mitigation for Additive Manufacturing Equipment

    SBC: Etegent Technologies, Ltd.            Topic: N20AT010

    Additive manufacturing (AM) is a rapidly evolving technology that is being used in a growing number of new and different applications. As applications become more diverse, so will the environments within which AM equipment is relied upon to operate effectively and produce high quality parts. One specific challenge is maintaining part quality when AM equipment is required to operate in environments ...

    STTR Phase I 2020 Department of DefenseNavy
  10. TWIFFA

    SBC: Kairos Research LLC            Topic: N20AT017

    The Kairos Research Team, together with our partners at the University of Arkansas at Little Rock (UALR), proposes to develop an intuitive web-based Twitter Follower / Friend Assessment (TWIFFA) tool and associated app that can identify bots and bot-assisted accounts within a user’s network of followers and friends. TWIFFA will enable a user to input their Twitter credentials, scan followers and ...

    STTR Phase I 2020 Department of DefenseNavy
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