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The Award database is continually updated throughout the year. As a result, data for FY24 is not expected to be complete until March, 2025.

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. Rapid Identification of Effects of Defects within Metal Additive Manufacturing (RIED-AM)

    SBC: Intelligent Automation, Inc.            Topic: N18AT013

    Additive manufacturing (AM) systems, especially metal AM, bring revolutionary capabilities, but suffer from a lack of understanding of the defects that exist within the components. In this research, based on selective experimental study and numerical simulations, we will develop an empirical database of defects and their effects on mechanical properties using Laser Powder Bed Fusion (LPBF) technol ...

    STTR Phase I 2018 Department of DefenseNavy
  2. Protocol Feature Identification and Removal

    SBC: P & J ROBINSON CORP            Topic: N18AT018

    Protocols used for communication suffer bloat from a variety of sources, such as support for legacy features or rarely used (and unnecessary) functionality. Traditionally, the Navy subscribes to a blanket adoption of a standard protocol "as is". Unnecessary features are active and can be accessed by both internal and external systems creating security vulnerabilities. PJR Corporation's (PJR's) Pha ...

    STTR Phase I 2018 Department of DefenseNavy
  3. Additive Manufacturing for Microwave Vacuum Electron Device Cost Reduction

    SBC: RADIABEAM TECHNOLOGIES, LLC            Topic: N16AT010

    The Department of the Navy has a need for the development of an additive manufacturing (AM) process for key vacuum electronic device components to meet on-demand, flexible, and affordable manufacturing requirements. The goal of this Phase II effort is to develop and validate Electron Beam Melting (EBM) additive manufacturing (AM) technology for the production of vacuum electronic devices meeting t ...

    STTR Phase II 2018 Department of DefenseNavy
  4. Novel Separator Materials for Achieving High Energy/Power Density, Safe, Long-Lasting Lithium-ion Batteries for Navy Aircraft Applications

    SBC: ADA TECHNOLOGIES, INC.            Topic: N16AT008

    To meet Navy needs for high performance and safe lithium ion (Li-ion) batteries for naval aircraft, ADA Technologies Inc. (ADA) and its university collaborator propose to optimize and transfer a highly tunable, high performance and safe, block copolymer derived nanoporous separator. The innovative strategy provides a powerful tool to allow exquisite tuning of performance and safety features of the ...

    STTR Phase II 2018 Department of DefenseNavy
  5. Evidence-Based, User-Centered Design Process for Improvement of the Utility of the Surface Electronic Warfare Display Suit

    SBC: PACIFIC SCIENCE & ENGINEERING GROUP, INC.            Topic: N11AT031

    In Naval, surface electronic warfare (EW), visual displays form critical bridges between warfighters and the complex operational radio-frequency (RF) spectrum they must monitor and interpret. Surface electronic warfare operators and supervisors must monitor and interact with multiple, stove-piped display systems in order to perform their work. Further, the visual displays they employ are not desig ...

    STTR Phase II 2018 Department of DefenseNavy
  6. Novel Separator Materials for Achieving High Energy/Power Density, Safe, Long-Lasting Lithium-ion Batteries for Navy Aircraft Applications.

    SBC: OCEANIT LABORATORIES INC            Topic: N16AT008

    Oceanit proposes to develop and demonstrate novel, tailored, designer separator materials with optimized properties to maximize lithium-ion cell/battery performance, life, safety and reliability.

    STTR Phase II 2018 Department of DefenseNavy
  7. Aircraft Carrier-based Precision Ship-Relative Navigation Guidance for Aircraft Landing under Emissions Control Conditions

    SBC: COHERENT TECHNICAL SERVICES, INC.            Topic: N15AT014

    The ability to refuel piloted aircraft in flight is considered a strategic military advantage and has been a critical element of success in nearly every US and NATO military engagement of the jet age. One key asset used to facilitate aerial refueling is PMA-201’s Aerial Refueling Store (ARS), which allows fighters and other store-carrying aircraft to be reconfigured as tankers. The ARS is set to ...

    STTR Phase II 2018 Department of DefenseNavy
  8. Ignition Modeling for Present and Future Combustors and Augmentors

    SBC: COMBUSTION SCIENCE & ENGINEERING, INC.            Topic: N17AT003

    The ability to predict the ignitibility potential of a combustor at various operating conditions is not practical at this time due to the complexity of this process. Ignition within a gas turbine combustor is dependent on various parameters; including spark (or plasma) energy, flow conditions, fuel/air ratio, and fuel spray density. All these parameters must be properly predicted in order to effec ...

    STTR Phase II 2018 Department of DefenseNavy
  9. Improved High-Frequency Bottom Loss Characterization

    SBC: HEAT, LIGHT, AND SOUND RESEARCH, INC.            Topic: N17AT026

    We propose development of an improved bottom database suitable for use in the frequency range of 1-10 kHz. Measured transmission loss (TL) and reverberation level (RL) will be jointly processed in building the database. The influence of the rough sea surface, rough seafloor, as well as subbottom heterogeneity will be accounted for during database generation. The rough sea surface will be character ...

    STTR Phase II 2018 Department of DefenseNavy
  10. A Scalable Event Extractor for Multi-Level Event Data and Pattern Archiving: SEE

    SBC: Intelligent Automation, Inc.            Topic: N17AT022

    To address the need of auto-extracting data relevant to significant events and to archive patterns, Intelligent Automation, Inc. (IAI) team proposes to continue developing a Scalable Event Extractor for Multi-Level Event Data and Pattern Archiving: SEE. The key innovations of our proposed SEE system are (1) a large class of analytics that extract valuable and important information from raw data, a ...

    STTR Phase II 2018 Department of DefenseNavy
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