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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. System of Systems Control Interactions

    SBC: Torch Technologies, Inc.            Topic: MDA15T002

    Control Theory tools and processes for analyzing the interactions of complex System of Systems (SoS) are lacking, specifically when sub-systems are independently designed and/or higher levels of SoS controls are applied. Integrating these sub-systems into the SoS, can result in dynamic interactions between these sub-systems and the SoS controls resulting in unexpectedly large deviations between ex ...

    STTR Phase I 2016 Department of DefenseMissile Defense Agency
  2. Sufficient Statistics for System of Systems Control (S4C)

    SBC: Intelligent Automation, Inc.            Topic: MDA15T002

    There is an urgent need to develop and demonstrate innovative control, design and analysis techniques to characterize the stability and performance of a system of systems (SoS) as a function of sub-system dynamics, network structure and control/decision processes. This is particularly true in the missile defense scenario, which involves a coordinated defense against threats. However, there is no e ...

    STTR Phase I 2016 Department of DefenseMissile Defense Agency
  3. System of Systems Control Interactions

    SBC: GTD Unlimited LLC            Topic: MDA15T002

    In this research effort, GTD Unlimited will design tools for efficiently specifying, representing, and analyzing the interactions between control systems in System of Systems (SoS). Our approach will be to model the problem as an uncertain system and analyze the resulting models using control methods. Control methods can be related back to the standard Nyquist criterion for stability, ensuring t ...

    STTR Phase I 2016 Department of DefenseMissile Defense Agency
  4. Mechanistic Model Development for Gold Contaminated Solder Joint Reliability

    SBC: DFR SOLUTIONS, LLC            Topic: MDA15T005

    DfR Solutions and the Rochester Institute of Technology (RIT) have formed a team of experts in solder joint reliability and gold embrittlement to perform a series of experiments that will provide the data necessary to create mechanistic reliability models. Critical to any application of these models and of interpreting experimental results is the ability to determine solder joint gold contaminatio ...

    STTR Phase I 2016 Department of DefenseMissile Defense Agency
  5. CCA-SAFE: A Model-Assisted NDE Tool for Failure Analysis of Gold Contaminated Solder Joints

    SBC: Intelligent Automation, Inc.            Topic: MDA15T005

    Gold contamination in Circuit Card Assembly (CCA) solder joints leads to brittle intermetallic compounds (IMCs), which is one of the major factors in solder joint failure. The conventional rule of thumb considers 3 wt% of gold (Au) as a safety threshold, which is not always reliable due to varieties of package platforms, solder types, reflux settings, operational and environmental conditions, etc. ...

    STTR Phase I 2016 Department of DefenseMissile Defense Agency
  6. Gold-Contaminated Solder-Joint Characterization for Quantifying Risk Associated with Gold Embrittlement

    SBC: Enig Associates, Inc.            Topic: MDA15T005

    Circuit card assembly (CCA) reliability is dependent on solder joints, which join components to printed circuit boards (PCBs). Board users strive to mitigate risks associated with gold-embrittled solder joints. Enig Associates, Inc. (ENIG), in collaboration with Sandia National Laboratories, proposes to develop a risk-forecasting tool for quantifying the risks associated with gold-embrittled sold ...

    STTR Phase I 2016 Department of DefenseMissile Defense Agency
  7. Embedded Sensors for Flight Test (Every Aircraft a Test Aircraft)

    SBC: NEXTGEN AERONAUTICS, INC.            Topic: AF14AT01

    Increasing system capabilities in terms of weapon systems, ISR payloads, GNC, etc., enabled by smaller and more capable electronics systems have led to a trend for overall size reduction in military aircraft. This has resulted in a reduction in the avail...

    STTR Phase II 2016 Department of DefenseAir Force
  8. Bonded Joint Analysis Method

    SBC: M4 ENGINEERING, INC.            Topic: N12AT004

    During Phase I and Phase II, M4 Engineering, Inc. and Sandia National Laboratories have created a unique bonded joint analysis methodology and associated software. During Phase II.5, the developed techniques will be further enhanced and a fully functional commercial analysis code (SIMULIA/Abaqus) plug-in will be created. The software plug-in will make the advanced technology accessible to all leve ...

    STTR Phase II 2016 Department of DefenseNavy
  9. Microelectronics Component Adhesive Selection and Design Rules for Failure Avoidance

    SBC: CFD RESEARCH CORPORATION            Topic: MDA14T002

    Thermally induced fatigue and residual stress introduced during fabrication are sources of failure in microelectronics, which raises reliability concerns for MDA and its system integrators. CFDRC has teamed with experts in the reliability of microelectronics packaging to develop a physics based modeling and testing protocol to correlate material properties and thermal loading conditions to stress ...

    STTR Phase II 2016 Department of DefenseMissile Defense Agency
  10. Small Sample Size Semi-Supervised Feature Clustering for Detection and Classification of Objects and Activities in Still and Motion Multi-spectral Imagery

    SBC: TOYON RESEARCH CORPORATION            Topic: AF15AT35

    Toyon Research Corp. and the Penn State Univ. propose research and development of innovative algorithms for classifying objects and activities observed in high-dimensional data extracted from multi-sensor motion imagery. The proposed algorithms include novel feature clustering techniques to enable effective characterization of intra-class and inter-class appearance variations in datasets containin ...

    STTR Phase II 2016 Department of DefenseAir Force
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