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The Award database is continually updated throughout the year. As a result, data for FY21 is not expected to be complete until September, 2022.

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.

  1. Accelerating Metagenomics Using Graphics Processing Units

    SBC: Multicoreware, Inc.            Topic: 35a

    A key application of the technological breakthrough associated with decreased cost of DNA sequencing is metagenomics. Metagenomics is the process of sequencing DNA from whole ecosystems, rather than individuals or cultures. This approach has the potential to allow the dissection of microbial ecosystems in biofuel producing agricultural land, toxic contaminated sites and hydrocarbon recovery enviro ...

    STTR Phase I 2010 Department of Energy
  2. Acceleration of Commercial Low-Rank Matrix Solver via SLATE

    SBC: IERUS TECHNOLOGIES, INC            Topic: 07a

    Performing accurate simulations of large- and multi-scale electromagnetics problems has far-reaching implications The same physics governs applications as diverse as rare earth content reduction in DC motor design; wireless propagation in dense urban environments and novel antenna design, both key issues in the pending 5G communications boom; electromagnetic sounding for subsurface exo-terrestrial ...

    STTR Phase I 2020 Department of Energy
  3. A Clinical 3D Movement Analysis System for Assessing Lower Extremity Injury Risk and Recovery in Athletes

    SBC: BIONIKS            Topic: NIAMS

    DESCRIPTION provided by applicant The mission of Bioniks is to develop and commercialize accurate low cost movement analysis systems for clinicians ergonomists athletic trainers and other professionals interested in quantifying human movement Our initial focus is on developing computer enhancements for inexpensive D cameras like the Microsoft Kinect These enhancements surpass the accura ...

    STTR Phase I 2016 Department of Health and Human ServicesNational Institutes of Health
  4. A Comprehensive Web Infrastructure for Standardizing, Storing, and Launching Density Functional Calculations of Materials and Chemical Compounds

    SBC: Citrine Informatics, Inc.            Topic: 09a

    Density functional theory is used by many researchers funded by the Department of Energy as a method for predicting the behavior of chemicals and materials used in energy applications. However, results of these calculations are often not standardized and, even when they are, expert-level understand of the methods is needed in order to properly perform a simulation. The energy research community a ...

    STTR Phase I 2016 Department of Energy
  5. A cost-effective bioreactor to advance functional tissue engineering of cartilage

    SBC: Apex Biomedical Company, LLC            Topic: NIAMS

    DESCRIPTION (provided by applicant): Osteoarthritis (OA) is the leading cause of chronic disability in the United States. A clinical goal in the treatment and prevention of OA is to develop replacement cartilage using tissue engineering (TE) technologies. Although TE cartilage presently lacks the mechanical stability of native cartilage, studies have demonstrated that mechanical stability can be e ...

    STTR Phase I 2010 Department of Health and Human ServicesNational Institutes of Health
  6. Acoustically/Vibrationally Enhanced High Frequency Electromagnetic Detector for Buried Landmines

    SBC: AKELA INC            Topic: A16AT004

    Laboratory investigations have suggested that acoustically or vibrationally inducing motion in buried targets can aid in improving target detectability through a characteristic response related to differential target motion. This gain is realized by adding an additional degree of freedom, modulation due to motion in the GPR return signal, to use as a discriminating feature. The AKELA team is propo ...

    STTR Phase I 2016 Department of DefenseArmy
  7. Adaptable Cyber Defense for Autonomous Air Operations

    SBC: INFERLINK CORPORATION            Topic: AF19CT003

    Cyber defense is difficult, but presents a particularly thorny problem for legacy systems, including legacy embedded systems, where in many such cases source code may not even be available. In this project, we proposed to investigate and extend a pattern-based approach recently developed by USC-ISI for analyzing and retrofitting binary code to protect against potential attacks. In this project, we ...

    STTR Phase I 2020 Department of DefenseAir Force
  8. Adaptive Fleet Synthetic Scenario Research

    SBC: KAB LABORATORIES INC.            Topic: N10AT044

    Synthetic scenario-based training of Navy personnel in the use of Navy SIGINT/IO systems has helped to reduce training costs, and it has enabled the personnel to be trained in an environment that sufficiently approximates real-world situations that could not otherwise be accomplished within the class room. However, scenario development is highly complex and involves a great deal of human effo ...

    STTR Phase I 2010 Department of DefenseNavy
  9. Adaptive Fleet Synthetic Scenario Research

    SBC: Sonalysts, Inc.            Topic: N10AT044

    Together with our research institution partner, the University of Central Florida (UCF) Institute for Simulation and Training (IST), Sonalysts is pleased to submit this proposal to investigate the feasibility of creating a Service Oriented Architecture (SOA) framework for correlation and fusion algorithms that drive scenario generation across many information domains (communication, imagery, track ...

    STTR Phase I 2010 Department of DefenseNavy
  10. Adaptive Learning for Stall Pre-cursor Identification and General Impending Failure Prediction

    SBC: Frontier Technology Inc.            Topic: N10AT008

    Frontier Technology, Inc. (FTI) and Northeastern University propose to investigate and develop an innovative approach to predict stall events of aircraft engines prior to occurrence and in sufficient time to allow the FADEC controller to adjust engine variables. The team will utilize vector quantization and neural network techniques to develop accurate models of engine behavior that will be used t ...

    STTR Phase I 2010 Department of DefenseNavy
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