Award Data

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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. Bioinformatics: Data Integration for Biomonitoring Applications

    SBC: Arete Associates            Topic: DTRA162002

    Aret Associates and Oak Ridge National Laboratory (ORNL) propose an interdisciplinary effort to further develop and validate a robust, operational biomonitoring application that can process soil microbiome data to reliably detect episodic and low-level chronic contamination while maintaining low false alarm rate.The Phase II SBIR work will build upon the successful Phase I proof-of-concept demonst ...

    SBIR Phase II 2018 Department of DefenseDefense Threat Reduction Agency
  2. 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
  3. Memory Instrumentation and Performance Simulation (MIPS)

    SBC: ATC-NY, Inc.            Topic: DTRA172003

    Next-generation high-performance computing (HPC) hardware, such as the Intel Xeon Phi Knights Landing Many-Integrated-Core processor, provide new deep memory architectures that offer the promise of increased performance. The challenge in taking full advantage of this architecture is selecting which data structures will be placed in the high-bandwidth memory. Optimizing data structure placement in ...

    SBIR Phase I 2018 Department of DefenseDefense Threat Reduction Agency
  4. 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
  5. 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
  6. 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
  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. 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
  9. A Robust, Machine Independent, Software Toolkit for Topology Aware Process Mapping on Distributed Memory HPC Architectures

    SBC: Continuum Dynamics Inc            Topic: DTRA172002

    A significant performance gap exists between the theoretical number of Floating Point Operations (FLOPS) that a HPC machine is capable of sustaining and the number of FLOPS realized by real-world HPC applications. One of the principle reasons for this gap is the parasitic work that computational processes must do to communicate with one another. It has been shown that this communication work can b ...

    SBIR Phase I 2018 Department of DefenseDefense Threat Reduction Agency
  10. Novel Methods to Measure Penetrator Dynamics in Multi-Layer Geometries

    SBC: Thornton Tomasetti, Inc.            Topic: DTRA07011

    In Phase I of this effort we analyzed the structural response of a BLU 109 during typical penetration events. Based on these finite element results, we proposed and demsonstrated a simple robust concept for a passive penetrator sensor that identifies the material being penetrated and also correlates strongly with its underground trajectory. Such a sensor would obviously provide valuable informatio ...

    SBIR Phase II 2008 Department of DefenseDefense Threat Reduction Agency
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