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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. 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
  2. Robust Ionic Liquid Electrolytes for Reversible Electroplating of Mirrors

    SBC: Faraday Technology, Inc.            Topic: AF16AT20

    This proposal addresses the need for development of room-temperature ionic liquids (RTILs) for use in electrolytes for reversibly electroplating films with specific optical, emissive and electrical properties on demand. Target applications for these electrolytes are devices using reversible electroplating for tuning/regenerating functional surfaces, such as mirrors or thermal emitters, deployed on ...

    STTR Phase II 2017 Department of DefenseAir Force
  3. High-Speed Measurements of Dynamic Flame Stabilization Processes in High-Pressure Combustion Systems

    SBC: SPECTRAL ENERGIES LLC            Topic: AF16AT13

    The Phase-II research is a natural extension and a significant advancement over the Phase-I research, which has successfully demonstrated high-speed, burst-mode, polarization-based, dual-plane, stereoscopic PIV measurements synchronized with OH-PLIF imaging of turbulent swirling combustion in a generic gas-turbine combustor with and without acoustic forcing. We propose to conduct high-speed, burst ...

    STTR Phase II 2017 Department of DefenseAir Force
  4. Securing the Internet of Things (IoT)

    SBC: Samraksh Company, The            Topic: AF16AT10

    A market study of cybersecurity of the Internet of Things (IoT) in Phase I of this effort shows that the rapidly escalating weaponization of IoT devices will continue to be a problem for complex technical, economic, and political reasons. The IoT phenomenon has yielded a vulnerability with asymmetric cost-benefit in favor of the adversary, and this in turn has created the potential for strategic s ...

    STTR Phase II 2017 Department of DefenseAir Force
  5. AC Plasma Sensor For High Enthalpy Hypersonic Test Facilities

    SBC: SPECTRAL ENERGIES LLC            Topic: AF17AT002

    Spectral Energies and the University of Notre Dame is developing a new class of point-wise sensors for high-enthalpy conditions that rely on the use of a weakly ionized AC discharge between two electrodes as the main sensing element. The advantages of this approach include a native high bandwidth with a theoretical maximum in excess of 15 MHz and a simple mechanical design that is inherently robus ...

    STTR Phase I 2017 Department of DefenseAir Force
  6. Computationally Efficient, Accurate and Uncertainty Characterized Chemical Kinetics for Hydrocarbon Fuels

    SBC: CFD RESEARCH CORPORATION            Topic: AF17AT004

    TBD

    STTR Phase I 2017 Department of DefenseAir Force
  7. Fast Response Heat Flux Sensors and Efficient Data Reduction Methodology for Hypersonic Wind Tunnels

    SBC: AHMIC AEROSPACE LLC            Topic: AF17AT001

    Accurate knowledge of heat flux is critical in assessing the performance and survivability of hypersonic aerodynamic systems. Under these flow regimes extreme pressures, temperatures, and vibrations make it difficult to quantify even the most basic aerothermodynamic properties. Ahmic Aerospace and Virginia Tech propose an innovative new approach to develop robust heat flux sensors and a data reduc ...

    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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