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The Award database is continually updated throughout the year. As a result, data for FY19 is not expected to be complete until June, 2020.

  1. A Collaborative Interface for Teacher-Student Interaction in Virtual Environments

    SBC: STRANGE LOOP GAMES INC.            Topic: edIES17R0005

    In prior projects, including a 2015 ED/IES SBIR award, the team developed two immersive multiplayer virtual game environments. In Eco and Colony, middle school students collaboratively apply scientific practices within the virtual worlds to address challenges, such as the availability of resources and energy and maintaining clean water. With this Phase I funding, the team is developing a prototype ...

    SBIR Phase I 2017 Department of EducationInstitute of Education Sciences
  2. Photonic Switch for Laser Power Distribution

    SBC: Eospace Inc.            Topic: N171013

    A very fast 1xN optical switch capable of handling high-optical power is proposed. It is designed for switching laser power from a central source to multiple outputs using photonic switch technology that does not have any mechanical moving parts. It is designed to have a very compact size and high-reliability operation suitable for airborne environment. The switching speed will be >10 W of optical ...

    SBIR Phase I 2017 Department of DefenseNavy
  3. Lightweight Self-Start System for T56 Engine Driven Aircraft

    SBC: Beck Engineering, Inc.            Topic: N171028

    The Navy needs a small, self-contained, lightweight system for starting E-2D T56 engines to allow for remote field operations. We propose to develop a Rocket Fuel Starter (RFS) to meet Navy needs. Our RFS uses a liquid-fuel rocket engine to drive a turbine that generates shaft power to start the T56 engine. We project our RFS will fit in available spaces and will weigh significantly less than 200 ...

    SBIR Phase I 2017 Department of DefenseNavy
  4. Cavitation Peening for Improved Ballistic Performance

    SBC: Ormond, LLC            Topic: N171037

    A need exists to improve the ballistic response of armor for Littoral Combat Ships. Simply increasing armor thickness is unacceptable because the associated increase in weight and space would reduce vessel performance speed and range. Surface treatment techniques for current armor materials such as steel, aluminum and ceramic may improve armor performance significantly without an associated weight ...

    SBIR Phase I 2017 Department of DefenseNavy
  5. Novel Composite for High Performance Thermal Interface Material

    SBC: GLACIGEN MATERIALS, INC.            Topic: N171081

    Navy operational needs dictate that thermal interface materials (TIMs) have high thermal conductance, high dielectric strength, form non-permanent bonds, and be resilient to vibration and abrasion. Available TIMs each satisfy a portion of these requirements, but not all of them.Glacigen Materials will develop a new class of TIM by creating a novel composite material. This material will be embodied ...

    SBIR Phase I 2017 Department of DefenseNavy
  6. Fast Rise-time High Power Radio Frequency (HPRF) Pulse Shaping

    SBC: Eagle Harbor Technologies, Inc.            Topic: N172135

    Eagle Harbor Technologies, Inc. (EHT) is collaborating with researchers at the Pulsed Power and Power Electronics Center at Texas Tech University (TTU) to develop a high-power microwave switch that is capable of very fast rise times, adjustable pulse width, and high pulse repetition frequency (PRF). EHT has developed solid-state pulsed power systems that has the potential to improve the performanc ...

    SBIR Phase I 2017 Department of DefenseNavy
  7. Machine learning for standoff detection of Special Nuclear Material (SNM)

    SBC: Clostra, Inc.            Topic: DTRA162001

    "Deep Learning for standoff detection of Special Nuclear Material (DLeN) applies the same deep learning techniques that allow computers to beat human performance in image recognition and the game of Go to detecting Special Nuclear Material. Spectral analysis and signal processing can in some cases be augmented by the use of much larger neural nets that conduct much deeper analysis of features of t ...

    SBIR Phase I 2017 Department of DefenseDefense Threat Reduction Agency

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