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The Award database is continually updated throughout the year. As a result, data for the given year is not complete until April of the following year. Annual Reports data is a snapshot of agency reported information for that year and hence might look different from the live data in the Awards Information charts.

  1. Modeling of Chemical Hazards Dispersion in Lakes and Reservoirs in CONUS

    SBC: Maritime Planning Associates, Inc.            Topic: DTRA182004

    The objective of this study is to develop methods to adequately characterize the chemical and physical environments of lakes and reservoirs for the CONUS operational implementation within SHARC. Over the course of this project we will explore the novel and innovative integration of deep machine learning, data analytics, computational fluid mechanics and in-situ/overhead empirical data. Specificall ...

    SBIR Phase I 2019 Department of DefenseDefense Threat Reduction Agency
  2. Advanced Solutions for Radiation Susceptibility Analysis & Prediction

    SBC: DFR SOLUTIONS, LLC            Topic: DTRA162006

    The increasing complexity of devices, reduced budgets and accelerated program timelines, requires a new approach to predicting radiation of integrated circuit (IC) designs.Most approaches to date require gate level analysis and do not scale easily to device level calculations, leading to methods that are note practical under most program timeline and cost budgets.Previously, DfR Solutions has demo ...

    SBIR Phase II 2019 Department of DefenseDefense Threat Reduction Agency
  3. Autonomous navigation through small, confined spaces

    SBC: ROBOTIC RESEARCH LLC            Topic: DTRA182002

    As more of our enemies expand the number and complexity of their underground facilities, the need to improve the tools that provide consistent situational awareness (SA) increases accordingly.For complex missions such as these, we require a family of systems (FoS) that have different capabilities, and can address various mission needs. Robotic Research proposes creating a unique, small platform (P ...

    SBIR Phase I 2019 Department of DefenseDefense Threat Reduction Agency
  4. A Deep Learning Approach for Enhanced Discrimination of Nuclear Weapons Testing

    SBC: Array Information Technology, Inc            Topic: DTRA182005

    Seismic, hydro acoustic, and infrasonic (SHI) analyses possess many desirable properties, such as long-distance wave propagation and attributable spectral characteristics. They have been, by large, relegated to capturing massive explosions, earthquakes, bolides, and space-bound rocket launches. Although machine learning techniques have been employed on various military and commercial projects, rar ...

    SBIR Phase I 2019 Department of DefenseDefense Threat Reduction Agency
  5. TheSieve

    SBC: Cyber Point International, LLC            Topic: NA

    We propose to create an advanced forensic analysis tool called TheSieve. This tool will use machine learning techniques that can classify files as malicious or benign as well as suggesting files for closer inspection. Built upon custom enhancements to the National Software Reference Library (NSRL), TheSieve will allow forensic investigators to spend theirvaluable time examining the most significan ...

    SBIR Phase I 2018 Department of CommerceNational Institute of Standards and Technology
  6. Development of a Rapid Monitoring System for Detection of Pathogens in Marine Aquaculture Operations

    SBC: InnovaPrep, LLC            Topic: 836

    TECHNICAL ABSTRACT: InnovaPrep proposes to develop a rapid sample-to-answer monitoring system for detecting pathogens in marine aquaculture waters. An assessment of industry needs will include a kickoff meeting with NOAA and a visit to Toby Island Bay Oyster Farm. Following the assessment and report, a TRL-4 breadboard prototype system will be developed that will include the combination of sample ...

    SBIR Phase I 2018 Department of CommerceNational Oceanic and Atmospheric Administration
  7. Automated Approaches to Analyze and Identify Dual Use Research of Concern from Scientific Publications

    SBC: Intelligent Automation, Inc.            Topic: DTRA172004

    The dual use potential of certain life sciences research has been recognized as an important biosecurity issue for a number of years. Current Dual Use Research of Concern (DURC) assessment procedures are pure manual work done by researchers/reviewers trained in the biosecurity domain. Therefore, an automated approach to analyze and identify DURC rapidly and reliably is urgently needed. To address ...

    SBIR Phase I 2018 Department of DefenseDefense Threat Reduction Agency
  8. 3-D Digital Image Correlation Based Non-Destructive Testing System for Qualification of Additive Manufacturing Parts

    SBC: X-Wave Innovations, Inc.            Topic: NA

    NIST's seeks a high resolution DIC technology for qualification of complex AM parts. To meet this critical need, X-wave Innovations Inc. proposes to develop a 3-Dimentional Digital Image Correlation (3-D DIC) based NDT system. The proposed effort builds upon the success of XII in developing a variety of NDT technologies (including DIC system) for advanced materials evaluation. The success of the p ...

    SBIR Phase I 2017 Department of CommerceNational Institute of Standards and Technology
  9. Accelerated Radiation Susceptibility Analysis and Prediction (RadSAP) Tool

    SBC: DFR SOLUTIONS, LLC            Topic: DTRA162006

    "The increasing complexity of devices, reduced budgets and accelerated program timelines, requires a new approach to predicting radiation of integrated circuit (IC) designs. Most approaches to date require gate level analysis and do not scale easily to device level calculations, leading to methods that are not practical under most program timeline and cost budgets. Previously, DfR Solutions has ...

    SBIR Phase I 2017 Department of DefenseDefense Threat Reduction Agency
  10. Production of Inactivated Vaccines Using Supralethal Irradiation

    SBC: BIOLOGICAL MIMETICS, INC.            Topic: DTRA14B002

    The discovery and commercial development of licensed vaccines often take many years of research followed by years of pre-clinical and clinical development. We propose to assess the feasibility of using a novel irradiation-inactivation technology to develop vaccines more rapidly. The technology utilizes a manganese-peptide complex to protect antigenic proteins from ionizing radiation while allowing ...

    STTR Phase II 2017 Department of DefenseDefense Threat Reduction Agency

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