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The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.

Download all SBIR.gov award data either with award abstracts (290MB) or without award abstracts (65MB). A data dictionary and additional information is located on the Data Resource Page. Files are refreshed monthly.

The SBIR.gov award data files now contain the required fields to calculate award timeliness for individual awards or for an agency or branch. Additional information on calculating award timeliness is available on the Data Resource Page.

  1. Nanocomposite Scandate Tungsten Powder for High Current Density and Long Life Thermionic Cathodes

    SBC: Vacuum Process Engineering, Inc.            Topic: N15AT010

    Vacuum Process Engineering Inc. in collaboration with the UC Davis millimeter wave research group proposes to develop a large scale production process for nanocomposite scandate tungsten powder for advanced high current density and long life thermionic cathodes that have been previously demonstrated by UC Davis to be superior to the commercially available state-of-the-art. The produced cathodes de ...

    STTR Phase I 2015 Department of DefenseNavy
  2. Medium Voltage Direct Current (MVDC) Fault Detection, Localization, and Isolation

    SBC: ISSAC Corp            Topic: N16AT009

    The ISSAC Team leverages existing knowledge and expertise in power system monitoring, fault identification, localization and isolation in conjunction with rich, deep data analytics for pattern matching to devise a system for Medium Voltage Direct Current (MVDC) power system fault management. Because of the differences between AC and DC power grids there are a significant number of problems in deal ...

    STTR Phase I 2016 Department of DefenseNavy
  3. Medium Voltage Direct Current (MVDC) Fault Detection, Localization, and Isolation

    SBC: ISSAC Corp            Topic: N16AT009

    During the Phase II effort, the ISSAC Team will investigate several objectives and questions posed in Phase I efforts, in order to best develop a draft specification for NGES MVDC DLI systems. This includes exploring notional and conceptual architectures and discerning thresholds for DLI parameters; exploring individual and hybrid protection plan technologies to drive performance requirements for ...

    STTR Phase II 2018 Department of DefenseNavy
  4. LEARNING-BASED APPROACH FOR RELEVANT DATA EXTRACTION (LARDE)

    SBC: ROBOTIC RESEARCH OPCO LLC            Topic: N13AT016

    Robotic Research, LLC (RR) and Southwest Research Institute (SwRI) are creating a prototype Learning-based Approach for Relevant Data Extraction (LARDE). The LARDE framework is a data extraction and handling framework that can intelligently reduce the volume of raw data from on-board sensors, and organize and persistently store the reduced relevant dataset.

    STTR Phase II 2015 Department of DefenseNavy
  5. LCS Radar Modeling for Training (LRMT)

    SBC: Intelligent Automation, Inc.            Topic: N14AT012

    We propose the design and development of LCS radar modeling for training a radar modeling engine that capture the effects of environment, weather, jamming/interference and operator actions on radar display. The purpose of this engine is to reduce or eli

    STTR Phase I 2015 Department of DefenseNavy
  6. LCS Radar Modeling for Training (LRMT)

    SBC: Intelligent Automation, Inc.            Topic: N14AT012

    We propose the design and development of LCS radar modeling for training a radar modeling engine that capture the effects of environment, weather, jamming/interference and operator actions on radar display. The purpose of this engine is to reduce or eliminate the need for live training by faithfully capturing the scenarios encountered by a radar operator. The primary target radars for the propose ...

    STTR Phase II 2016 Department of DefenseNavy
  7. Large-scale Entity Linking and Disambiguation with DeepDive

    SBC: CLEARCUT ANALYTICS, INC            Topic: N16AT016

    DeepDive is a system for extracting relational databases from dark data: the mass of text, tables, and images that are widely collected and stored but which cannot be exploited by standard relational tools. If the information in dark data --- scientific papers, Web classified ads, customer service notes, and so on --- were instead in a relational database, it would give analysts access to a massiv ...

    STTR Phase I 2016 Department of DefenseNavy
  8. Internet of Things (IoT) Agent (IoTA) Framework for Evaluating Effectiveness and Efficiency

    SBC: RAM LABORATORIES            Topic: N18AT027

    The Internet of Things (IoT) is increasingly being used to create smart platforms where operators are being removed from the loop. These smart capabilities include collaborative IoT sensors and platforms that are self-aware and provide capabilities of self-prediction, self-configuration, and self-maintenance. To fully take advantage of these advances, however, testbeds and frameworks are needed to ...

    STTR Phase I 2018 Department of DefenseNavy
  9. Interlaminar Mode I and Mode II Fracture Toughnesses in Ceramic Matrix Composites (CMCs)

    SBC: ALPHASTAR TECHNOLOGY SOLUTIONS LLC            Topic: N13AT008

    The Alpha STAR Corporation and the University of Akron STTR Phase II proposal will establish ASTM standards test methods to determine relevant ceramics matrix composites (CMC) delamination crack growth resistance (CGR) material properties (Mode I & Mode II)under service load temperature conditions. Phase Ii will expand on Phase I results, conclusions & recommendations. Emphasis will be on testing ...

    STTR Phase II 2015 Department of DefenseNavy
  10. In situ NDI and correction of the AM process with laser SAW and heterodyne detection

    SBC: POLARONYX INC            Topic: N15AT008

    This Navy STTR Phase I proposal presents an unprecedented NDI tool to support laser additive manufacturing of metal parts by using fiber laser SAW and heterodyne detection. It is the enabling technology for real time characterize the AM parts in terms of temperature, cooling rate, grain structure, and defects. A proof of concept demonstration will be carried out at the end of Phase 1.Prototypes wi ...

    STTR Phase I 2015 Department of DefenseNavy
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