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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 April, 2020.

  1. Heterdyne Interferometer for Triggering Gas Puff PRSs

    SBC: HY-Tech Research Corp.            Topic: N/A

    Large X-ray generators using gas fill loads are a key element in the DTRA simulator program. Consistent relative timing between the injection of the gas shell and the generator current pulse is crucial to producing consistent, high-yield x-ray pulses.To that end HY-Tech proposes replacing existing high voltage trigger pin technology, with a sensitive, all fiber-optic heterodyne interferometer ba ...

    SBIR Phase I 2003 Department of DefenseDefense Threat Reduction Agency
  2. CeMnO3 1T Bipolar Memory

    SBC: STRUCTURED MATERIALS INDUSTRIES, INC.            Topic: N/A

    Bipolar Junction Transistors (BJT) are used for power and mixed signal applications in radiation environments. Current BJT devices perform with volatile operation requiring constant power supply for uninterrupted access. We propose to create a nonvolatileBJT memoy device using proprietary SMI cerium based ferroelctric mterial (patent pending) prodced by Metal Organic Chemical Vapor Deposition (MOC ...

    SBIR Phase I 2003 Department of DefenseDefense Threat Reduction Agency
  3. A Single Event Upset Immune Re-Programmable FPGA Utilizing a Commercial Architecture

    SBC: STRUCTURED MATERIALS INDUSTRIES, INC.            Topic: DTRA03005

    Radiation tolerant Field Programmable Gate Arrays (FPGA's) have gained wide and rapid acceptance by military and aerospace equipment suppliers; however, there are presently a limited number of chip-sets available for production. The lack of FPGA alternatives severely limits the range of available functions and applications that would greatly benefit from increased performance with radiation hardn ...

    SBIR Phase I 2003 Department of DefenseDefense Threat Reduction Agency
  4. Automated pattern recognition methods to identify nuclear explosions

    SBC: Acorn Science & Innovation, Inc.            Topic: DTRA182005

    Reliable automated pattern recognition in the current system is limited by excessive noise and clutter combined with insufficient and/or ambiguous features. Our team consisting of AcornSI and Leidos thus propose a multi-step approach based on the combined effects of improved detection, feature extraction, phase identification, and global association.A key innovation here is creating a new classifi ...

    SBIR Phase I 2019 Department of DefenseDefense Threat Reduction Agency

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