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The Award database is continually updated throughout the year. As a result, data for FY20 is not expected to be complete until September, 2021.

  1. Thermal and Fast Neutron Multiplicity Counter

    SBC: Radiation Monitoring Devices, Inc.            Topic: DTRA162007

    Neutron multiplicity can provide effective detection and identification of shielded Special Nuclear Materials (SNM) based on analysis of the time correlated neutron multiplicity distribution. RMD is developing a composite detector, consisting of Cs2LiYCl6:Ce (CLYC) scintillator incorporated into dual-mode plastics, which provides an ideal solution for this task. CLYC offers (1) efficient thermal ...

    SBIR Phase I 2017 Department of DefenseDefense Threat Reduction Agency
  2. The Marine Debris and Small Object Mapping (DSOM) Radar System)

    SBC: REMOTE SENSING SOLUTIONS, INC.            Topic: 824D

    The DSOM system realized in a Phase II effort will provide a modular, compact and reconfigurable system with the ability to provide unique and new information about the scene of interest (e.g. temporal and height information) when compared with traditional SAR sensors. When compared with other imaging technologies, DSOM has the important advantages of being operable through cloud cover and at nigh ...

    SBIR Phase II 2017 Department of CommerceNational Oceanic and Atmospheric Administration
  3. Standoff Detector using Large-Volume Advanced Scintillation Materials

    SBC: Radiation Monitoring Devices, Inc.            Topic: DTRA152008

    From 1993 to 2013, sixteen incidents involving highly enriched uranium associated with illegal activity has been reported to the IAEA.A gun-type of weapon would require roughly 25 kg of highly enriched uranium (HEU), which is easily deployed.Part of the defense is layered detection using standoff detection.Though detection of HEU is difficult, RMD has developed a number of large-volume scintillati ...

    SBIR Phase II 2017 Department of DefenseDefense Threat Reduction Agency
  4. SNAPSHOT: A System for Predicting Human Physical Traits from Sample DNA

    SBC: PARABON NANOLABS, INC.            Topic: DTRA102007

    OBJECTIVE: Develop a Forensic DNA Analysis Kit for Genetic Intelligence that can be used on unknown human DNA samples collected from the battlefield to provide information about the individual who deposited the sample, such as potential ethnicity, height, eye color, hair color, age, sex, and/or facial features. The kit should leverage Short Tandem Repeats (STR), Single Nucleotide Polymorphisms (S ...

    SBIR Phase I 2011 Department of DefenseDefense Threat Reduction Agency
  5. Semantic Parsing and role Labeling In Combination Effort (SPLICE)

    SBC: DECISIVE ANALYTICS CORPORATION            Topic: DTRA14B003

    To Counter Weapons of Mass Destruction (CWMD), DTRA must analyze data from numerous sources about a diverse set of technologies and activities. The extreme diversity in content and the volume of DTRAs data combine to produce one of the most challenging analysis problems in the government. The CWMD mission therefore requires deep analysis - an in-depth understanding of all available data and correl ...

    STTR Phase II 2017 Department of DefenseDefense Threat Reduction Agency
  6. Polyoxometalate/Graphene Gas Sensor Coupled with Infrared Motion Detector for Human Proximity Sensor Array

    SBC: International Scientific Technologies Inc            Topic: DTRA143001

    In Topic DTRA143-001, a need has been identified to improve monitoring human presence near containers, stored items, and secured areas in order to monitor activities, particularly in remote locations that are not patrolled all day every day. The use of smart materials to detect human presence by sensing volatile organic compounds emanating from the human body is a major area of interest within th ...

    SBIR Phase II 2017 Department of DefenseDefense Threat Reduction Agency
  7. Numerical Model of Subsurface Transport of Noble Gases in Fractured Geologic Media for Detection and Identification of Subsurface Nuclear Explosion Te

    SBC: MODERN TECHNOLOGY SOLUTIONS, INC.            Topic: DTRA111002

    Surface detection of specific radioisotopes of the noble gases xenon and argon are essential for detection and discrimination of underground nuclear explosions. We propose a unique combination of numerical modeling and stable isotope release experiments to enhance the predictability of subsurface transport of the noble gases of interest. Our proposed research will identify and quantify the physi ...

    SBIR Phase I 2011 Department of DefenseDefense Threat Reduction Agency
  8. MEMS Chip for Chemical Vapor Sampling and Analysis

    SBC: AGILTRON, INC.            Topic: DTRA143003

    Agiltron will develop a new class of chemical vapor analyzers by leveraging Agiltrons development and production of micro-electrical-mechanical systems (MEMS) products and expertise with surface-enhanced Raman scattering (SERS) analysis and film fabrication. Our approach capitalizes on integration of these separate technologies for the first time to generate a unique and novel functionality that f ...

    SBIR Phase II 2017 Department of DefenseDefense Threat Reduction Agency
  9. Mariner Report Application (MARApp): Crowdsourcing Maritime Weather Conditions

    SBC: Liteweaver Technologies, Inc.            Topic: 826

    Metron proposes a software framework for crowd-sourcing weather observations in a maritime environment leveraging personal mobile devices. Our proposed App, the Mariner’s Report App (MARApp), draws data from existing sensors in modern smartphones and tablets, as well as meteorological sensors normally found on small marine vessels. Our architecture is modular, extensible, and readily adaptable t ...

    SBIR Phase I 2017 Department of CommerceNational Oceanic and Atmospheric Administration
  10. Machine Learning-based Capability for Radioactive and Nuclear Threat Detection and Identification

    SBC: Physical Sciences Inc.            Topic: DTRA162001

    Physical Sciences Inc. (PSI) proposes to develop an Advanced Learning-Enabled Threat Search (ALERTS) software to significantly enhance detection range and source classification accuracy during search for Special Nuclear Materials and other radioactive threats. The software will implement Machine Learning algorithms for automated extraction of spectral and temporal features by training on sets of g ...

    SBIR Phase I 2017 Department of DefenseDefense Threat Reduction Agency
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