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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. Developing Commercial Quantum Resistance Standard Based on Epitaxial Graphene

    SBC: Graphene Waves, LLC            Topic: None

    Graphene Waves proposes to develop a quantum Hall resistance (QHR) standard based on graphene that can be deployed for general electrical calibration in industries. Current QHR standard is based on GaAs/AlGaAs heterostructure and requires expensive liquid helium to operate. The continuous increase in price and unstable supply chain of liquid helium limit the QHR standard to be only affordable by t ...

    SBIR Phase I 2019 Department of CommerceNational Institute of Standards and Technology
  2. Laser Particle Separation

    SBC: Opthos Instrument Company, LLC            Topic: None

    Parman Tech is dedicated to commercializing a NIST technology for sorting nano-particles. This technology uses the force of light to gently guide particles along different paths depending on the size of makeup of each particle.

    SBIR Phase I 2019 Department of CommerceNational Institute of Standards and Technology
  3. TheSieve

    SBC: Cyber Point International, LLC            Topic: None

    CyberPoint International presents the design of a cross platform product for the autonomous execution of live forensic investigations of Personal Computers, Laptops and Servers leveraging the NIST NSRL corpus and a combination of at least 3 forms of machine learning/artificial intelligent algorithms for the processing of preliminary digital evidence titled TheSieve. We build upon work from our pha ...

    SBIR Phase II 2019 Department of CommerceNational Institute of Standards and Technology
  4. 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
  5. High Efficiency Cyclone Separator for Sub-micron Particle Concentration

    SBC: MAINSTREAM ENGINEERING CORPORATION            Topic: DTRA182006

    The Radionuclide Aerosol Sampler and Analyzer (RASA) is a completely automated monitoring system that detects airborne radioactive particles and is one of the detection systems used in the U.S. and global International Monitoring System (IMS) of the Comprehensive Nuclear Test Ban Treaty Organization (CTBTO) to detect nuclear detonations. Mainstream proposes develop a high-efficiency cyclone separa ...

    SBIR Phase I 2019 Department of DefenseDefense Threat Reduction Agency
  6. 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
  7. 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
  8. 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
  9. 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
  10. ISABEL- Integrated Secure Automated Bug Extraction List

    SBC: Smart Information Flow Technologies, LLC            Topic: NA

    To automatically detect software bugs, understand their characteristics, and categorize them according to the evolving NIST Bugs Framework (BF), SIFT is developing ISABEL: Integrated Secure Automated Bug Extraction List. ISABEL will provide three key functions:- Using symbolic analysis and fuzz-testing tools to find inputs that trigger vulnerabilities (bugs).- Using fuzz-testing, delta-debugging, ...

    SBIR Phase II 2018 Department of CommerceNational Institute of Standards and Technology

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