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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. Development of Optimizer for Noise Reduction for Military Airfields and Surrounding Areas

    SBC: Blue Ridge Research and Consulting, LLC            Topic: N091016

    Emerging new military high-performance aircraft and most current fighter aircraft generate community noise footprints that are in many cases 10 times or larger in size than current transport commercial aircraft. These higher levels lead to community annoyance, expensive and restrictive noise mitigation, and restriction of operations. Noise reduction technologies have been developed and employed on ...

    SBIR Phase II 2010 Department of DefenseNavy
  2. Atmospheric Acoustic Propagation Prediction

    SBC: Blue Ridge Research and Consulting, LLC            Topic: N08096

    Acoustic signatures radiating to the ground enable the enemy to aurally detect, locate, and classify inbound U.S. tactical aircraft. This ability has become a critical limiting factor hindering engagement with the enemy as well as threatening aircraft and crew survivability. Multi-Service and multi-agency requirements exist to study the problem and to develop countermeasures, yet no capability cur ...

    SBIR Phase II 2010 Department of DefenseNavy
  3. Gearbox Load and Life Simulation Software

    SBC: SENTIENT SCIENCE CORPORATION            Topic: N091017

    Gear tooth surface fatigue (pitting) is common precursor failure mode that leads to excessive gear vibration, liberation of debris particles that damage ancillary components (e.g. bearings), and serves as crack initiation sites that lead to eventual catastrophic tooth failure. Current gearbox life estimation techniques commonly underplay the significance of gear tooth surface fatigue due to the co ...

    SBIR Phase II 2010 Department of DefenseNavy
  4. In situ learning for underwater object recognition

    SBC: Signal Innovations Group, Inc.            Topic: N091066

    In the proposed Phase II program, the methods developed and implemented during Phase I research will be fully integrated within a common Bayesian in situ learning framework. We have developed several Bayesian classifiers, to which we will apply label acquisition and label confidence techniques. Additionally, we will extend the in situ learning framework to include multi-task learning. Previously c ...

    SBIR Phase II 2010 Department of DefenseNavy
  5. Media Free Coatings Removal Technology for Navy Platforms using Atmospheric Plasma

    SBC: ATMOSPHERIC PLASMA SOLUTIONS, INC.            Topic: N091065

    The Navy and other DoD components require a media-free, environmentally friendly, rapid, and non-destructive method to remove coatings applied on and aboard Navy ships. Atmospheric Plasma Solutions Inc. (APS) has developed an atmospheric plasma process to accomplish this goal. Current processes for the removal of coatings for shipboard applications are expensive, require massive amounts of energy, ...

    SBIR Phase II 2010 Department of DefenseNavy
  6. Benthic Microbial Fuel Cells Engineered for High Power Density

    SBC: Scribner Associates Incorporated            Topic: N08T028

    Benthic microbial fuel cells (BMFCs) are bio-electrochemical power sources that derive fuel from renewable detritus. They have the potential to be cost-effective, sustainable energy sources to power remote, widely distributed instruments for oceanographic, environmental and biological monitoring. Currently, low power density limits their usefulness and cost-effectiveness. The objective is to devel ...

    STTR Phase II 2010 Department of DefenseNavy
  7. Development of Co-Mingled E and B Field Antennas

    SBC: WAVE COMPUTATION TECHNOLOGIES INC            Topic: N10AT015

    Wave Computation Technologies and Duke University will develop minimally coupled, co-mingled E and B field antennas through numerical and experimental investigations based on both phenomenological and first-principle theories. The project objectives are to (a) develop the simulation capability for modeling superconducting quantum interference filter devices and the related B field antennas, (b) ma ...

    STTR Phase I 2010 Department of DefenseNavy
  8. Lightweight Layered Protection Systems for Missile Launchers and Canisters

    SBC: CORVID TECHNOLOGIES, LLC            Topic: N10AT018

    The objective of this proposed effort is to leverage state-of-the-art modeling and simulation tools to predict and assess the performance of a novel layered material system as protection for high-value missiles when deployed in launchers and canisters. The physics-based computational tools developed and used by Corvid allow for complex material interactions to be captured to provide an understandi ...

    STTR Phase I 2010 Department of DefenseNavy
  9. Spline Health Prognosis via Physics Based Modeling Coupled with Component Level Tests

    SBC: SENTIENT SCIENCE CORPORATION            Topic: N093170

    Sentient will develop enhanced fretting fatigue analysis software with rigorous consideration of surface roughness effects in the stick/slip phenomena and fatigue. This will be coupled with an analysis of the stresses and resulting degradation in the material. Sentient will utilize diagnostic data in the form of vibration measurements and/or measured shaft torque to determine the loading condition ...

    SBIR Phase I 2010 Department of DefenseNavy
  10. Exploiting Multipath for Efficient Target Classification

    SBC: Signal Innovations Group, Inc.            Topic: N102139

    Automatic target recognition(ATR) for tactical military targets is a very challenging problem, particularly when the number of observed aspects of a target is subject to the operational constraints of the sensor platform. When the target is situated in the presence of a complicated background medium, such as in urban or hilly settings, the observed signals might be deformed significantly, thus the ...

    SBIR Phase I 2010 Department of DefenseNavy
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