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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. Generating Material Properties From Flight Representative Structures

    SBC: MATERIALS RESEARCH & DESIGN INC            Topic: ST16C002

    High-speed flight vehicles commonly use carbon / carbon (C/C) and carbon / silicon carbide (C/SiC) for structural components.These refractory composite materials are chosen because of their superior structural properties at the elevated temperatures.In most cases, their thermophysical and strength properties are characterized using flat and relatively thin material test plates that are fabricated ...

    STTR Phase I 2017 Department of DefenseDefense Advanced Research Projects Agency
  2. Enhanced WAAVES+: A Fast and Accurate Automated USV Scoring Program

    SBC: CORNERSTONE RESEARCH GROUP INC            Topic: DHP16C003

    Cornerstone Research Group (CRG) and the University of Texas (UT) will team to develop a fast and accurate automated analysis program for USV scoring. This automated tool will enable greater research efficiency and throughput allowing greater strides in developing treatments for post-traumatic stress disorder through rodent-based research. Building off prior work by UT on a first generation auto-s ...

    STTR Phase I 2017 Department of DefenseDefense Health Agency
  3. Principled Design of an Augmented Reality Trainer for Medics

    SBC: Design Interactive, Inc.            Topic: DHA17A003

    Design Interactive Inc. (DI) and Eastern Virginia Medical School (EVMS) propose to develop an Augmented reality Learning Environment for Refresher Training (ALERT) that provides realistic and relevant Tactical Combat Casualty Care (TC3) scenarios using AR technologies integrated with mannequins for pre-deployment training and humans for deployed training environments. ALERT will facilitate learnin ...

    STTR Phase I 2017 Department of DefenseDefense Health Agency
  4. Modeling and Optimizing Turbines for Unsteady Flow

    SBC: Florida Turbine Technologies Inc.            Topic: ST13A005

    Pressure gain combustion has the potential to significantly improve the specific fuel consumption for gas turbine engines by realizing a pressure rise through the combustor as opposed to a pressure drop. One drawback to this form of combustion is the cycl

    STTR Phase I 2013 Department of DefenseDefense Advanced Research Projects Agency
  5. Limit State Design of Composite Aerospace Structures

    SBC: CORNERSTONE RESEARCH GROUP INC            Topic: ST13A006

    Federal Aviation Administration Advisory Circular 20-107B provides guidance on the achievement of compliance with Title 14 of the Code of Federal Regulations regarding airworthiness type certification requirements for composite aircraft structures necessi

    STTR Phase I 2013 Department of DefenseDefense Advanced Research Projects Agency
  6. Novel Extensible Design Approaches for Advanced Aircraft Composite Structural Architectures (MSC P4135)

    SBC: MATERIALS SCIENCES LLC            Topic: ST13A006

    Among the factors that inhibit the use of composite materials in both general aviation aircraft and DoD platforms are the high cost of engineering and the cost of certification. Unless manufacturers can control risk when introducing new materials and pro

    STTR Phase I 2013 Department of DefenseDefense Advanced Research Projects Agency
  7. Modeling Leadership Dynamics in Multinational Environments

    SBC: MacroCognition, LLC            Topic: ST092002

    We propose to develop a computational model of leadership designed to capture complex variables including cultural differences in leadership requirements along with task differences, primarily ill-defined goals, which pose leadership challenges. Rather than avoiding these kinds of complexity and developing a computational model that is unlikely to scale up, we believe there is more to be gained b ...

    STTR Phase I 2010 Department of DefenseDefense Advanced Research Projects Agency
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