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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. Advanced Solutions for Radiation Susceptibility Analysis & Prediction

    SBC: LUCID CIRCUIT, INC.            Topic: DTRA162006

    With the advent of high-density low-power sub-20nm technology processes and circuits with tens-of-billions of transistors, radiation-induced single-event effects present a new set of design challenges for terrestrial applications. Developing reliable single-event effect resilient microelectronics in these modern technology nodes is a resource and time-intensive endeavor that further requires valid ...

    SBIR Phase II 2019 Department of DefenseDefense Threat Reduction Agency
  2. Ultra-short Pulsed Off-axis Digital Holography for 3D imaging of Aerosol Evolution

    SBC: Metrolaser, Inc.            Topic: DTRA182003

    This is a proposal to develop a unique, Ultrashort Pulsed Off-axis Digital Holography (USPODH) system, enabling the high frequency imaging of detailed 3D structures within aerosol fields under harsh thermodynamic conditions and high optical depths where ordinary imaging is essentially useless.Many powerful imaging methods have failed to provide this capability because noise from multiple scatterin ...

    SBIR Phase I 2019 Department of DefenseDefense Threat Reduction Agency
  3. Tools for Memory Hierarchy Optimization on Pre-Exascale HPC Architectures

    SBC: Ep Analytics, Inc            Topic: DTRA172003

    DTRA uses High Fidelity Computer Codes (HFCC) to investigate weapon effects and techniques for countering Weapons of Mass Destruction (WMD). End-to-end HFCC simulations in support of the DTRA Agent Defeat Warfighter Capability will require calculations including multiple phenomena that occur in vastly different time scales (-sec to hours). As DTRA becomes increasingly reliant on computational mode ...

    SBIR Phase I 2018 Department of DefenseDefense Threat Reduction Agency
  4. Low Voltage Radiation Hardened Optoelectronics for Optical Interconnects

    SBC: QUANTTERA LLC            Topic: DTRA152001

    The Defense Threat Reduction Agency (DTRA) recognizes the need for low-power high-bandwidth radiation-hard optical interconnects to process more data more quickly and to replace electronic data.Our companys core development in optical communications with semiconductor materials is a unique fit for DTRAs low-power consumption high-bandwidth radiation-hard intra-chip communication components for sat ...

    SBIR Phase II 2018 Department of DefenseDefense Threat Reduction Agency
  5. Compact Laser Drivers for Photoconductive Semicond

    SBC: SCIENTIFIC APPLICATIONS & RESEARCH ASSOCIATES, INC.            Topic: DTRA16A004

    For effective protection against radiated threats, it is important to understand not only the physics of the threats, but also to quantify the effects they have on mission-critical electrical systems. Radiated vulnerability and susceptibility testing requires delivery of high peak power and peak electric fields to distant targets. The most practical solution to simulate such environments on large ...

    STTR Phase II 2018 Department of DefenseDefense Threat Reduction Agency
  6. Non-Saturating, Real-Time Battlefield Dosimeter

    SBC: Spectral Labs Incorporated            Topic: DTRA172007

    Spectral Labs proposes the development of a radiation dosimeter capable of accurately measuring both prompt and residual gamma and neutron particles without saturating at the dose rates expected from a nuclear event. The proposed dosimeter will be capable of live readout but will typically operate in a low power sleep state for extended battery life, and the dosimeter will utilize a well-tested ci ...

    SBIR Phase I 2018 Department of DefenseDefense Threat Reduction Agency
  7. Isotope Nuclear Forensics from Optical Real-time Measurements (INFORM)

    SBC: Applied Spectra, Inc.            Topic: DTRA172008

    The SBIR Phase I effort will demonstrate the performance of an Atmospheric Pressure Glow Discharge (APGD) excitation/ionization source with Laser Ablation (LA) sampling and Optical Emission Spectroscopy (OES) for rapid field elemental and isotopic analysis of surrogate nuclear debris samples. Laser sampling mitigates the need for sample preparation or consumables. The APGD will be tested as an ato ...

    SBIR Phase I 2018 Department of DefenseDefense Threat Reduction Agency
  8. Field-Expedient Nuclear Isotope Characterization Spectrometer

    SBC: Hedgefog Research Inc.            Topic: DTRA172008

    To address the DTRA's need for a field deployable mass spectrometer for nuclear forensic analysis (NFA), Hedgefog Research Inc. (HFR) proposes to develop a new Field-Expedient Nuclear Isotope Characterization Spectrometer (FENICS), based on species-specific ionization and novel signal enhancement schemes. New system features in FENICS will enable rapid, on-site characterization of nuclear debris s ...

    SBIR Phase I 2018 Department of DefenseDefense Threat Reduction Agency
  9. Optimizing Power Availability and Sustainability in Islanded Sites

    SBC: PHYSICAL OPTICS CORPORATION            Topic: DTRA152006

    To address the DTRA need for enhanced island-mode operation and strategies for defense critical infrastructure (DCI) in the event of commercial power grid loss or disruption due to an electromagnetic pulse (EMP) or high-power microwaves (HPMs), Physical Optics Corporation (POC) has developed an Optimizing power Availability and Sustainability in Islanded Sites (OASIS) methodology. This solution is ...

    SBIR Phase II 2018 Department of DefenseDefense Threat Reduction Agency
  10. DLeN: Deep Learning for standoff detection of Special Nuclear Material

    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 th ...

    SBIR Phase II 2018 Department of DefenseDefense Threat Reduction Agency

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