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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. Lightweight, Stable Optical Bench with Integrated Vibration Attenuation

    SBC: SAN DIEGO COMPOSITES, INC.            Topic: MDA13T007

    The goal of this program is to design a lightweight optical bench capable of remaining stable under temperature and moisture changes, while isolating the precision optical array from vibrations such as engine noise and air turbulence. By integrating a customizable periodic stack in the bench, vibrations are attenuated more effectively than commercially available mounts. Additionally, the periodic ...

    STTR Phase II 2016 Department of DefenseMissile Defense Agency
  2. Data Driven Intent Recognition Framework

    SBC: OTHER LAB, INC.            Topic: NSF13599

    A critical aspect of exoskeleton control that has to date introduced a performance limitation is the ability of the exoskeleton to recognize the intent of the operator so it can apply assistance to their desired motion. This intent recognition effort is typically solved using ad-hoc methods where subject matter experts make design decisions and tune transitions to identify intended maneuvers as re ...

    STTR Phase II 2016 Department of DefenseSpecial Operations Command
  3. 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
  4. 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
  5. Decision Making under Uncertainty

    SBC: GCAS, Inc.            Topic: MDA13T001

    Our proposed second order uncertainty (SOU) product is a decision making software solution that addresses the problem of providing accurate and precisely defined decision courses of action (COAs) of complex, time-constrained problems in a fraction of the time required by alternative methods striving to achieve the same level of precision. Complex decision situations can deal with large volume of ...

    STTR Phase II 2016 Department of DefenseMissile Defense Agency
  6. 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
  7. Failure Avoidance in Microelectronics Due to Coefficient of Thermal Expansion (CTE) Mismatch of Substrates and Adhesives

    SBC: GLOBAL ENGINEERING RESEARCH AND TECHNOLOGIES, LLC            Topic: MDA14T002

    The reliability of electronic packages is of paramount concern in todays electronics industry, and ensuring their thermomechanical integrity is necessary to achieve this reliability. However, this task has become more challenging with miniaturization and the introduction of new materials. Thermal stresses in electronic packages continue to be one of the leading causes of device failure. The pro ...

    STTR Phase I 2015 Department of DefenseMissile Defense Agency
  8. 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
  9. Improved Flotation Separation of Rare Earth Ore

    SBC: ATS-MER, LLC            Topic: OSD12T01

    A critical step in the extraction of elements from ore, especially rare earth elements that are found in complex minerals, is separation. Froth flotation is a highly versatile method for physically separating particles based on differences in the ability of air bubbles to selectively adhere to specific mineral surfaces in a mineral/water slurry. The particles with attached air bubbles are then ca ...

    STTR Phase II 2015 Department of DefenseOffice of the Secretary of Defense
  10. Information Salience

    SBC: DISCERNING TECHNOLOGIES, LLC            Topic: OSD11TD1

    Empirical-based mathematical framework and computer algorithms, for representing human perception and cognition processes and limitations, which influence the recognition of salient information about rapidly changing events.

    STTR Phase II 2015 Department of DefenseOffice of the Secretary of Defense
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