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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. Smallsat Cryocooler System

    SBC: Iris Technology Corporation            Topic: MDA17T003

    The Iris Technology team which also include Northrop Grumman Aerospace Systems (NGAS) and the University of Wisconsin, is attacking the problem of high-efficiency, low-volume, space-qualified cryocooler systems.The team has a firm starting point by leveraging the Northrop Grumman Microcryocooler and the Iris Technology mLCCE (Miniature Low Cost Control Electronics).TMU enhancement will start with ...

    STTR Phase I 2018 Department of DefenseMissile Defense Agency
  2. 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
  3. 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
  4. 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
  5. 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
  6. Lightweight Structural Components of a Missile Body

    SBC: ALPHASTAR TECHNOLOGY SOLUTIONS LLC            Topic: MDA17T004

    The Ground-Based Interceptor (GBI) missile is the weapon component of the Ground-Based Midcourse Defense (GMD) system that consists of a rocket booster and kinetic kill vehicle. Recently, MDA has sought technologies to improve the performance of the booster vehicle (BV). To date, studies have shown that reductions in weight have a direct impact on overall effectiveness. The current proposal aims t ...

    STTR Phase I 2018 Department of DefenseMissile Defense Agency
  7. Interactive Sensor Fusion for Context-Aware Discrimination

    SBC: Opto-knowledge Systems, Inc.            Topic: MDA15T001

    We propose a novel computational framework for discrimination that incorporates sensor data from observations of the engagement and from kill assessment (KA) that such sensors can provide. The KA information is combined with data from other sensors to improve the discrimination decision and to reduce the probability of correlated shots. Approved for Public Release 16-MDA-8620 (1 April 16)

    STTR Phase I 2016 Department of DefenseMissile Defense Agency
  8. Robust Classification through Deep Learning and Dynamic Multi-Entity Bayesian Reasoning

    SBC: ExoAnalytic Solutions, Inc.            Topic: MDA15T001

    Missile defense faces the challenges of rapidly maturing and evolving complex threats, possessing capabilities which require the use of all available resources to successfully detect, track and identify the lethal objects. Future performance will rely on multiple sensors such as ground and sea based radars and electro-optical and infrared sensors for target recognition. It is crucial to develop a ...

    STTR Phase I 2016 Department of DefenseMissile Defense Agency
  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 stress related failure in microelectronics, which raises concerns about product reliability and specification. CFDRC has teamed with experts in the reliability of microelectronics packaging to develop a testing and physics based modeling protocol to correlate material properties and thermal loading conditio ...

    STTR Phase I 2015 Department of DefenseMissile Defense Agency
  10. Novel Structure-Preserving Algorithms for Accurate Rocket Trajectory Propagation

    SBC: OPTIMAL SYNTHESIS INC.            Topic: MDA17T002

    The Department of Defense uses large-scale high-resolution federated simulations to propagate rocket vehicle trajectories. Runge-Kutta methods have served as a de-facto standard while conducting such simulations. However, there are several challenges while using Runge-Kutta methods for this task. Firstly, there should be exact time-step matching between federates, otherwise the states have to be i ...

    STTR Phase I 2018 Department of DefenseMissile Defense Agency
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