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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. 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
  2. Base Metal Electrode Capacitor Test Methods

    SBC: FUNDO SCIENCE CORPORATION            Topic: MDA14T003

    Miniaturized base metal electrodes (BME) multilayer ceramic capacitors (MLCC) are of great interest for future missile applications as designers are striving to achieve smaller, lighter, cheaper, faster and better electronic assemblies without sacrificing long-term performance. Unfortunately, screening, reliability and qualifications criteria are either not available or not standardized. In the ...

    STTR Phase I 2015 Department of DefenseMissile Defense Agency
  3. Novel Autonomous Ultrasonic System for Monitoring the Remaining Effective Stabilizer in Aging Rocket Propellants

    SBC: Luna Innovations Incorporated            Topic: MDA14T004

    Luna proposes a novel technique for the accurate quantification of the remaining effective stabilizers (RES) in solid rocket propellants. This sensing concept does not require access into the solid rocket motor (SRM). Therefore this approach does not in any way compromise the integrity of the motor and it can retrofit legacy systems and can be part of the next generation of motor systems and wil ...

    STTR Phase I 2015 Department of DefenseMissile Defense Agency
  4. Real-Time Health Management Portable Sensor for Solid Rocket Motors

    SBC: Physical Sciences Inc.            Topic: MDA14T004

    Physical Sciences Inc. (PSI) proposes to design, develop, and demonstrate a portable, non-invasive, real-time sensor to assess the chemical and physical health of solid rocket motors (SRMs) as a function of age without affecting the motors integrity. In Phase I, a sensor to monitor specific gas species that are markers of the chemical and mechanical aging processes of composite and double base pr ...

    STTR Phase I 2015 Department of DefenseMissile Defense Agency
  5. Failure Avoidance in Microelectronics through Coefficient of Thermal Expansion (CTE) Mismatch Modeling and Design

    SBC: Space Micro Inc.            Topic: MDA14T002

    Space Micro will develop the core of the decision support system, assemble the models and material properties and demonstrate the utility of the program in materials selection on a subset of failures related to a specific test-bed, which will be the attachment of quad-flat no-leads (QFN) and ball grid array (BGA) devices to printed wiring boards using different solders, underfills, QFN or BGA geom ...

    STTR Phase I 2015 Department of DefenseMissile Defense Agency
  6. Adaptive Management and Mitigation of Uncertainty in Fusion (AMMUF)

    SBC: Charles River Analytics, Inc.            Topic: MDA13T001

    In our Adaptive Management and Mitigation of Uncertainty in Fusion (AMMUF) project, we will model the entire multi-sensor fusion process as a probabilistic model and reason about the different design and algorithmic decisions that can be made by system engineers. This fusion model will use standard fusion system representations and ideas from statistical relational learning field to create flexibl ...

    STTR Phase II 2015 Department of DefenseMissile Defense Agency
  7. Micro-Particle Debris Characterization from Hyper-Velocity Impacts

    SBC: Torch Technologies, Inc.            Topic: MDA13T002

    Leveraging the results of our Phase I work, the Torch Team proposes to execute laboratory-based experiments to elucidate fundamental micro-debris formation mechanisms to improve optical modeling of impacts. Optical signatures from impacts collected over the last decade have identified definitive micro-debris parameter trends. However, current theories have difficulty reproducing these optical ob ...

    STTR Phase II 2015 Department of DefenseMissile Defense Agency
  8. Uncertainty Characterization Using Copulas (UC)2

    SBC: Boston Fusion Corp.            Topic: MDA13T001

    Boston Fusion, together with our teammate Syracuse University, propose a program of research and development, Uncertainty Characterization Using Copulas (UC)2, that will result in a parametric framework based on the statistical theory of copulas for modeling uncertainties for the problem of object classification. (UC)2 will produce a mathematical framework, founded on rigorous theoretical analysis ...

    STTR Phase II 2015 Department of DefenseMissile Defense Agency
  9. MK III Upper Extremity Exoskeleton

    SBC: Ekso Bionics Inc            Topic: 739552

    As the carry and protective gear of the modern war fighter increases, the burden on the human body will necessarily increase. In our present TALOS MkIII project, we are developing lower body augmentation to preserve speed and agility while bearing this weight. Yet we cannot ignore the impact of this weight on the upper body: in this project we propose to develop an upper body exoskeleton with p ...

    STTR Phase II 2015 Department of DefenseSpecial Operations Command
  10. Deep Inference and Fusion Framework Utilizing Supporting Evidence (DIFFUSE)

    SBC: Boston Fusion Corp.            Topic: MDA15T001

    Combining information from disparate sensors can lead to better situational awareness and improved inference performance; unfortunately, traditional multi-sensor fusion cannot capture complex dependencies among different objects in a scene, nor can it exploit context to further boost performance. Integrating context information within a fusion architecture to reason cohesively about scenes of inte ...

    STTR Phase I 2016 Department of DefenseMissile Defense Agency
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