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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. Combat Systems of the Future

    SBC: Advanced Systems/Supportability Engineering Technologies And Tools, Inc.            Topic: N05149

    The S-351 mini-sub is a prototype of the Dry Combat Submersible (DCS). This prototype was established as a means of risk reduction prior to a full commitment to the DCS program. Both of these platforms have an operational need to transit with minimum operator fatigue safely to a pre-defined point and covertly deploy and retrieve SEALS. To meet these operational needs, these platforms require upgra ...

    STTR Phase II 2017 Department of DefenseSpecial Operations Command
  2. Extending Molecular Simulation to Grain Scale for Simulating Response of Energetic Material Under High Strain Rate and Shock Loading

    SBC: CFD Research Corporation            Topic: AF17AT023

    High Velocity Penetrator Weapons experience severe stress in terms of high frequency vibration and shock during launch, flight, and on impact. The extreme conditions have significant impact on the survivability of the weapon due to damage of the energetic material and fuze compartment. Molecular dynamics is often used to understand the effect of external shock on the material. However, molecular ...

    STTR Phase I 2017 Department of DefenseAir Force
  3. High-Quality AlGaN Substrates for Optical and Electronic Applications

    SBC: KYMA TECHNOLOGIES, INC.            Topic: AF17AT024

    Kyma Technologies, the leading domestic supplier of crystalline III-N substrate materials, is teamed with leading AlGaN materials & device experts at Sandia National Laboratory, to develop high-quality AlGaN templates in Phase I and free-standing AlGaN substrates in Phase II. Understanding that the commercialization potential of AlGaN templates and substrates requires a cost-effective and diameter ...

    STTR Phase I 2017 Department of DefenseAir Force
  4. Target-In-The-Loop Sensing Suite for Long-Range Atmospheric Effects Characterization

    SBC: MV Innovative Technologies LLC (DBA: Opt            Topic: AF17AT008

    This project offers a novel polychromatic target-in-the-loop atmospheric sensing (TILAS) concept for in situ characterization of the combined effects of atmospheric turbulence, refractivity, transmittance, and optical path difference (piston phase) over long-range, low elevation angle atmospheric paths. The proposed concept allows practical implementation of a modular compact TILAS atmospheric sen ...

    STTR Phase I 2017 Department of DefenseAir Force
  5. Tracking and Assessing Learner Engagement Toolkit (TALENT)

    SBC: Eduworks Corporation            Topic: AF17AT009

    The U.S. Air Force trains and educates a large and diverse workforce to meet requirements across a complex array of missions. Early-stage training in many Air Force Specialty Codes can consist of large corpora of foundational, static material, so training that motivates airmen is a necessary element in helping ensure a supply of qualified personnel in mission-critical areas like aerospace maintena ...

    STTR Phase I 2017 Department of DefenseAir Force
  6. Blended Reality Solution for Live, Virtual, and Constructive Field Training

    SBC: Mike Sutton Consulting, Inc.            Topic: AF17AT011

    The proposed Small Business Technology Transfer (STTR) Phase I project will determine the technical feasibility and cost-effectiveness of utilizing emerging blended-reality technologies that enable interoperability with LVC simulations to create more effective and comprehensive Battlefield Airmen training environments. The proposed training technologies will be integrated across multiple platforms ...

    STTR Phase I 2017 Department of DefenseAir Force
  7. Development lightmap rendering technology to advance infrared simulation capabilities for training applications

    SBC: Cornerstone Software Solutions, Inc            Topic: AF17AT012

    Recent technology advances have enabled the simulation community to achieve greater realism in virtual training environments. As new methods for synthetic image generation are developed, the lack of readily available supporting data to populate these specialized techniques limits their implementation. Currently the capability is not available to efficiently generate enhanced temporal energy maps ...

    STTR Phase I 2017 Department of DefenseAir Force
  8. A LevelSet / XFEM Approach for Topology Optimization of Thermally Loaded Structures

    SBC: Lateral Unbounded Software LLC            Topic: AF17AT015

    The automotive and aerospace industries use topology optimization to minimize structural weight while satisfying functional constraints. However, the industry-standard fictitious material or density approach has been less effective when applied to physics beyond simple structural mechanics. Known issues include: failed numerical convergence or so-called gray material in computed optimal designs, n ...

    STTR Phase I 2017 Department of DefenseAir Force
  9. Fiber-Coupled Hyperspectral Thermal LWIR Imaging Sensor Suite for Combustion System Diagnostics

    SBC: Spectral Energies, LLC            Topic: AF17AT016

    The objective of the proposed Phase-I effort by Spectral Energies LLC is to design and develop a fiber-coupled hyperspectral LWIR thermal imaging sensor suite for temperature measurements in practical combustors. The proposed sensor suite will be capable of performing spectrally resolved imaging to achieve accurate temperature measurements in practical gas-turbine engines while resolving optical i ...

    STTR Phase I 2017 Department of DefenseAir Force
  10. Spiral: A Framework for Chaotic Sensitivity Analysis and Optimization

    SBC: Lateral Unbounded Software LLC            Topic: AF17AT017

    Computational design is encountering barriers due to chaotic dynamics. The characteristic unpredictability, aperiodicity, and sensitivity to initial conditions in chaotic dynamics requires computationally costly time-dependent analysis. Computationally costly analysis precludes sampling-based optimization, indicating that chaotic systems would significantly benefit from gradient-based optimization ...

    STTR Phase I 2017 Department of DefenseAir Force
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