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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. Accelerated Burn-In Process for High Power Quantum Cascade Lasers to Reduce Total Cost of Ownership

    SBC: ADTECH PHOTONICS, INC.            Topic: N20BT029

    Quantum Cascade Lasers (QCLs) are one of the most versatile sources of radiation in the mid-infrared range and have found applications in a variety of fields. Despite their widespread adoption, one of the main hurdles holding QCLs back from large volume manufacturing is the large cost of ownership. While QCLs, like most semiconductor devices based on III-V compounds, can leverage the economies of ...

    STTR Phase I 2021 Department of DefenseNavy
  2. Accelerating the Development of CMAS and Sulfate-Induced Hot Corrosion Resistant Materials through Machine Learning

    SBC: MATERIALS RESEARCH & DESIGN INC            Topic: N20AT019

    For decades gas turbines have been a reliable source of propulsion for a variety of marine-based vehicles. Since their adoption as the go-to solution for vehicles requiring a higher power density than conventions diesel engines can produce, they have suffered from corrosion of their alloyed components. Long believed to be the primary source of the corrosion, great efforts have been made to reduce ...

    STTR Phase I 2020 Department of DefenseNavy
  3. Acoustic Pattern Recognition for Security Breaching Noise Detection

    SBC: SCIENTIFIC APPLICATIONS & RESEARCH ASSOCIATES, INC.            Topic: N06T036

    A proposed acoustic pattern recognition system will be based around an array of acoustic sensors to allow localization of sound events and cancellation of background noise. The number of sensors could be adjusted to vary the coverage area depending on the site. The measured signals will provide the input to a sophisticated signal processing algorithm that will separate the acoustic signals into ...

    STTR Phase I 2006 Department of DefenseNavy
  4. Active Sonar Statistical Estimation Tool (ASSET)

    SBC: DANIEL H WAGNER ASSOCIATES INC            Topic: N18AT002

    As underwater threats continue to evolve, active sonar systems and operators must evolve with them, requiring improvements to sources, receivers, signal processing algorithms, and search mission planning applications in order to maintain and improve detection rates. Any improvements in the latter requires a detailed and accurate understanding of the acoustic underwater environment, and the underly ...

    STTR Phase II 2020 Department of DefenseNavy
  5. Adaptive camera to display mappings using computer vision

    SBC: POLAR RAIN, INC.            Topic: N/A

    The video surveillance industry is experiencing dramatic change with the move from analog to digital video. Command centers need to have coordinated viewing of multiple camera feeds at one time, and the ability to switch automatically between feeds and display relevant patterns. Conventional security control rooms include a bank of monitors connected through a switch to an array of security camera ...

    STTR Phase I 2006 Department of Homeland Security
  6. Adaptive Space-Time Radar Techniques and Waveforms

    SBC: CHIRP CORP.            Topic: N04T007

    The problem is to improve airborne maritime radar detection of small moving targets in clutter, where the clutter varies with time, range, azimuth, sea state, grazing angle, wind speed, and the look direction of the radar relative to the wind direction. A new version of space-time adaptive processing (STAP) is applied to the problem. The new technique provides improved covariance estimation for ...

    STTR Phase II 2006 Department of DefenseNavy
  7. Additive Manufacturing of Inorganic Transparent Materials for Advanced Optics

    SBC: IRFLEX CORP            Topic: N19BT028

    Additive manufacturing (AM) technology offers the capability to use multiple glass materials and to print complex freeform shape designs and gradient index (GRIN) optics. Although AM is widely used to print commercial 3-dimension metal and plastic/polymer parts, there are no viable commercial solutions for AM of inorganic transparent glasses for high-quality optical components.The proposed work wi ...

    STTR Phase I 2020 Department of DefenseNavy
  8. Additive Manufacturing of Inorganic Transparent Materials for Advanced Optics

    SBC: IRFLEX CORP            Topic: N19BT028

    Additive manufacturing (AM) technology offers the capability to use multiple glass materials and to print complex freeform shape designs and gradient index (GRIN) optics.  Although AM is widely used to print commercial 3-dimension metal and plastic/polymer parts, there are no viable commercial solutions for AM of inorganic transparent glasses for high-quality optical components. The proposed Phas ...

    STTR Phase II 2021 Department of DefenseNavy
  9. Advanced Command and Control Architectures for Autonomous Sensing

    SBC: LAMBDA SCIENCE, INC.            Topic: N18BT030

    xxx

    STTR Phase II 2020 Department of DefenseNavy
  10. Advanced Composites Research to Reduce Cost (MSC P6016)

    SBC: MATERIALS SCIENCES LLC            Topic: N06T017

    The high manufacturing success rate achieved in the fabrication of glass fabric laminates and sandwich constructions using the Vacuum Assisted Resin Transfer molding (VARTM) process has not been duplicated for carbon fabric parts due to the slower, more complex flow processes that occur in carbon fabrics. Part reject rates have been high due to the presence of significant void concentrations and/ ...

    STTR Phase I 2006 Department of DefenseNavy
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