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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. Nanomachine Device for Semiconductor Process Control Monitoring

    SBC: Xallent LLC            Topic: None

    Conventional characterization and test methods are increasingly ineffective when applied to structures less than 100 nanometers, causing challenges across R&D, process control and failure analysis. An increasing number of subtle defects become prominent drivers of failure as device size and operating margins decrease, e.g., processing anomalies in thin gate oxides, substrate problems related to do ...

    SBIR Phase I 2019 Department of CommerceNational Institute of Standards and Technology
  2. Direct Performance Evaluation of Additive Manufacturing Process Plans

    SBC: INTACT SOLUTIONS INC.            Topic: None

    Additive manufacturing is steadily advancing towards fulfilling its promise of customized and on-demand production of functional parts. However, performance of as-manufactured parts can differ significantly from the as-designed parts because the as-manufactured geometry differs from the as-designed geometry and the asmanufactured material properties are not known. Attempts to predict performance o ...

    SBIR Phase I 2019 Department of CommerceNational Institute of Standards and Technology
  3. Ship-based Operations for UAS Swarms with Autonomous Pinniped Homing Over Nasty Environments (SOUSAPHONE)

    SBC: Charles River Analytics, Inc.            Topic: 9501

    Small Unmanned aircraft systems (UAS) play a critical and growing role in government, military, commercial, and scientific operations across a range of missions such as weather monitoring, natural disaster assessment, surveillance, and infrastructure inspection. Their versatility, maneuverability, and dependability, coupled with their ability to keep operators out of harm’s way, make them critic ...

    SBIR Phase I 2019 Department of CommerceNational Oceanic and Atmospheric Administration
  4. (Anno) Tator Online: A Web Application for Exploration and Curation of Underwater Video and Imagery

    SBC: CVISION AI INC            Topic: 9302

    Using modern web technologies, we will build an application that can be used to explore, enrich, and evaluate the wealth of underwater video and imagery being collected by NOAA and its partners. Existing data portals are primarily for text based or keyword search, and for viewing of existing data, lacking the ability for rich interaction, visualization of metadata, and adding new types of annotati ...

    SBIR Phase I 2019 Department of CommerceNational Oceanic and Atmospheric Administration
  5. Underwater Adhesive for Coral Restoration

    SBC: TIAX LLC            Topic: 9201

    TIAX proposes to demonstrate the feasibility of a quick tack, long pot life, and high strength underwater adhesive formulated to be delivered through a caulk gun like application device. This two part adhesive will pass through a static mixing nozzle during application, removing the need for hand-mixing the adhesive prior to use. Our adhesive will adhere strongly to commonly used artificial and na ...

    SBIR Phase I 2019 Department of CommerceNational Oceanic and Atmospheric Administration
  6. Developing Lightning Data Services for Commercial and Public Applications

    SBC: CFD Research Corporation            Topic: 9401

    In this Phase I effort, CFD Research proposes the creation of a lightning services API using data from the GOES-16/17 Geostationary Lightning Mapper (GLM) and the development of valued-added lightning initiation and cessation products. Leveraging CFD Research’s experience in software and API development and atmospheric sciences for lightning research applications, this API will provide a simplif ...

    SBIR Phase I 2019 Department of CommerceNational Oceanic and Atmospheric Administration
  7. Autonomous Data Acquisition and Processing Payload for Small Unmanned Aircraft Systems

    SBC: Kitware, Inc.            Topic: 9501

    In response to NOAA-OAR-OAR TPO-2019-2005899 topic 9.5.01, Kitware proposes a compact data collection and processing payload that can be hosted from small unmanned aircraft systems to support autonomous beyond line of sight missions. This innovative payload will manage collections from onboard sensors with optimizations collection paradigms. It will produce curated, geo-registered data archives, w ...

    SBIR Phase I 2019 Department of CommerceNational Oceanic and Atmospheric Administration
  8. Benthic Mapping of Geological, Biogeochemical and Biodiversity Parameters through an Autonomous Vehicle and Deep Learning Software Workflow

    SBC: CoastalOceanVision, Inc            Topic: 9603

    The time has come to integrate the capabilities we have developed for real-time habitat processing on shipboard with the HabCam towed vehicle, into an autonomous vehicle with 3D reconstruction of seafloor topology, substrate classification, single target identification, hyperspectral imaging for physiological information, and plankton classification as an index of ecosystem health. Integrated toge ...

    SBIR Phase I 2019 Department of CommerceNational Oceanic and Atmospheric Administration
  9. Continuous Learning for Additive Manufacturing Processes Through Advanced Data Analytics

    SBC: Senvol LLC            Topic: NA

    Additive manufacturing (AM) is a promising manufacturing technique for end-use parts that can solve challenges for American manufacturers in many industries, e.g. aerospace, defense, automotive, energy, and healthcare. However, despite the potential that AM offers, the rate of AM adoption in industry is very slow. This is because AM suffers from low repeatability and quality consistency issues, wh ...

    SBIR Phase I 2018 Department of CommerceNational Institute of Standards and Technology
  10. Measuring the Concentration of Host-cell Proteins in Biomanufacturing Using Silicon Nanowire Array Sensors

    SBC: Advanced Silicon Group            Topic: NA

    Our innovation is a low cost, sensitive, quantitative biosensor that can detect many biomarkers on the same chip. Our sensor consists of vertically aligned silicon nanowires. The silicon nanowires’ high surface area to volume ratio makes them sensitive to the environment around them and can thus lead to high sensitivity detection. Each of the nanowires can be functionalized to be sensitive to ei ...

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

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