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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. Development of Explosive Feedstock for Commercial-off-the-Shelf (COTS) 3D Printers

    SBC: E & G Associates, Inc.            Topic: N171060

    Traditional manufacturing methods for producing warheads, propellants, and pyrotechnic systems are timely and costly. Additive manufacturing (AM) approaches offer one path of alternative manufacturing technologies. Among various technologies, powder bed fusion (PBF) is one promising approach. Hewlett Packards Multi-Jet Fusion printers utilize a unique PBF process that presents a desirable solution ...

    SBIR Phase I 2017 Department of DefenseNavy
  2. Photonic Switch for Laser Power Distribution

    SBC: EOSPACE INC.            Topic: N171013

    A very fast 1xN optical switch capable of handling high-optical power is proposed. It is designed for switching laser power from a central source to multiple outputs using photonic switch technology that does not have any mechanical moving parts. It is designed to have a very compact size and high-reliability operation suitable for airborne environment. The switching speed will be >10 W of optical ...

    SBIR Phase I 2017 Department of DefenseNavy
  3. Real-time Remotely Sensed Topography and Bathymetry using Visible and LWIR Imagery Acquired from Small UASs

    SBC: INNOVATIVE IMAGING & RESEARCH CORP            Topic: A17060

    Warfighters responsible for planning and conducting A2/AD entry operations require up-to-date, high-quality information within dynamic littoral zones. We plan to develop an easily deployable day-night measurement capability to accurately measure bathymetry, topography, currents and water surface temperature in near real-time from sensors and small computing capabilities housed within small multi-r ...

    SBIR Phase I 2017 Department of DefenseArmy
  4. Modular EP Diagnostic Instrumentation Cluster (MEDIC)

    SBC: MSNW LLC            Topic: AF161004

    ABSTRACT: The Modular EP Diagnostic Instrumentation Cluster (MEDIC) is a self-contained plasma diagnostic instrument suite uniquely suited to the task of characterizing and comparing thruster operation in ground test and on-orbit environments. Of paramount importance to the qualification of electric propulsion (EP) systems is the measurable influence of the ground testing and evaluation (T&E) faci ...

    SBIR Phase I 2017 Department of DefenseAir Force
  5. Time-Resolved Electron Beam Fluorescence

    SBC: MSNW LLC            Topic: AF161006

    ABSTRACT: An innovative diagnostic, Time-Resolved Electron Beam Fluorescence (TREBF), will be developed that possesses the measurement capabilities needed to understand test facility effects on electric propulsion (EP) systems. Even the most advanced test and evaluation vacuum chambers are incapable of replicating the pressures encountered in geostationary earth orbits. These elevated background p ...

    SBIR Phase I 2017 Department of DefenseAir Force
  6. Electric-based Combined Cycle Thruster for Multi-mode Propulsion

    SBC: MSNW LLC            Topic: AF162010

    The Electric-Based Combined Cycle (EBCC) thruster is a new approach to spacecraft propulsion that combines the high thrust of a chemical combustion system and the high Isp of an electric propulsion thruster into a single thruster. In EBCC, a chemical propellant is burned in a sub-100 N rocket within a pulsed EP system. That decomposed, hot, neutral gas is then accelerated in a 5kWclass neutral ent ...

    SBIR Phase I 2017 Department of DefenseAir Force
  7. Ultra-Durable Polyolefin Based Waterproofing Coating

    SBC: RESODYN CORPORATION            Topic: A16114

    The U.S. Army is interested in the development of innovative materials, films, coatings and technologies or manufacturing techniques which allow current U.S. Army airdrop related hardware and equipment to survive fresh and salt water operations with increased reliability and without damage and significant maintenance impact. Resodyn Corporation proposes for development a durable, moisture-impermea ...

    SBIR Phase I 2017 Department of DefenseArmy
  8. Enhanced Composite Cryotank

    SBC: GLOYER-TAYLOR LABORATORIES INC            Topic: SB162014

    The objective of this effort is to develop the capability to produce low-cost high-performance, lightweight composite cryogenic propellant tanks for use on expendable and reusable space access vehicles and hypersonic aircraft. GTL took a major step towards this capability in a previous effort that demonstrated that it was possible to fabricate ultra-thin BHL composite propellant tanks (small-scal ...

    SBIR Phase I 2017 Department of DefenseDefense Advanced Research Projects Agency
  9. Enhanced Low-Power Transponder (ELT) for Spacecraft ID, Tracking, and Health Monitoring

    SBC: M42 Technologies, LLC            Topic: SB171015

    We propose to develop a system that will aid in the unique identification, accurate tracking, and state of health monitoring of satellites and other space objects. This system will consist of an Enhanced Low-Power Transponder (ELT) - a self-contained sm...

    SBIR Phase I 2017 Department of DefenseDefense Advanced Research Projects Agency
  10. Machine learning for standoff detection of Special Nuclear Material (SNM)

    SBC: CLOSTRA INC            Topic: DTRA162001

    "Deep Learning for standoff detection of Special Nuclear Material (DLeN) applies the same deep learning techniques that allow computers to beat human performance in image recognition and the game of Go to detecting Special Nuclear Material. Spectral analysis and signal processing can in some cases be augmented by the use of much larger neural nets that conduct much deeper analysis of features of t ...

    SBIR Phase I 2017 Department of DefenseDefense Threat Reduction Agency
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