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The Award database is continually updated throughout the year. As a result, data for FY22 is not expected to be complete until September, 2023.

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. Tools for Modeling & Simulation of Molecular and Nanomaterials for Optically Responsive Devices

    SBC: UES INC            Topic: AF09BT30

    Military applications for CBRNE/GWTO and C4ISR require R&D for materials to protect personnel and equipment. However, challenges remain in experimental synthesis and characterization of new materials, such as providing insight into observed properties for further advancement. Thus, it is essential to develop a predictive modeling and simulation approach that will not only provide a fundamental u ...

    STTR Phase I 2010 Department of DefenseAir Force
  2. Thermoelectric material-coated carbon nanotubes as high conductivity thermal interface materials

    SBC: ADA TECHNOLOGIES, INC.            Topic: AF09BT22

    The ever-decreasing size of the electronic microchips and the ever-increasing density of electronic components required to support future Air Force platforms are creating the problem of substantial localized heat generation that can impair component operation. State of the art thermal interface materials (TIMs), that are used to dissipate heat from the source to the spreader in a microchip, are se ...

    STTR Phase I 2010 Department of DefenseAir Force
  3. High Temperature Metal RubberTM Sensors For Skin Friction Measurements

    SBC: NANOSONIC INC            Topic: AF09BT32

    The Air Force Phase I STTR program would develop and demonstrate high temperature version of ‘sensor skins’ capable of multi-axis flow characterization on air breathing hypersonic engines. This would build upon NanoSonic’s successful demonstration of Metal Rubber™ transducer materials for the measurement of flow-induced skin friction and pressure at low temperatures and transonic and super ...

    STTR Phase I 2010 Department of DefenseAir Force
  4. Advanced Mediator Architectures for Efficient Electron Transfer in Enzymatic Fuel Cell Electrodes

    SBC: CFD RESEARCH CORPORATION            Topic: AF09BT03

    Our objective is to develop advanced mediator architectures for efficient electron transfer in enzymatic fuel cells (EFCs) for low power systems. The proposed EFC will leverage ongoing research at both CFDRC and Michigan State University to provide a fully-integrated lightweight, low-cost, manufacturable, and renewable power supply, for various military and civilian applications. EFC systems offer ...

    STTR Phase I 2010 Department of DefenseAir Force
  5. High-Fidelity Simulation of Hypersonic Weakly Ionized Plasmas with Dynamically Adaptive Mesh

    SBC: CFD RESEARCH CORPORATION            Topic: AF09BT10

    The goal of the proposed research is to develop advanced computational tool for high-fidelity simulations of hypersonic non-equilibrium plasmas. Octree adaptive Cartesian mesh will be used for automatic mesh generation and dynamic mesh adaptation to plasma properties, particularly important for hypersonic flows with strong shock waves, transient laminar and turbulent domains with large gradients o ...

    STTR Phase I 2010 Department of DefenseAir Force
  6. Ultrahigh Efficiency Quantum Dot Multi-photon Photovoltaics using Nipi Lateral Architecture

    SBC: CFD RESEARCH CORPORATION            Topic: AF09BT20

    Higher efficiency solar cells are needed to reduce solar array mass, volume, and cost for Air Force space missions. Intermediate-band quantum-dot (QD) solar cells can yield dramatically higher efficiencies than current multi-junction (MJ) technologies. However, several issues must be addressed to demonstrate manufacturable, high efficiency devices. CFDRC aims to develop: 1) High-efficiency, ligh ...

    STTR Phase I 2010 Department of DefenseAir Force
  7. Laser Induced Surface Improvement for Superior Wear Resistance in Extreme Conditions

    SBC: CFD RESEARCH CORPORATION            Topic: AF09BT19

    The objective of this Phase I project is to evaluate the use of novel Laser Induced Surface Improvement (LISI) techniques to provide surface modification to substrate materials which will provide superior wear resistance in extreme conditions. The specific application of interest is the hypersonic metal-to-metal contact that occurs at high speed test track facilities that can and has lead to catas ...

    STTR Phase I 2010 Department of DefenseAir Force
  8. Fusion of a Real-time Analytical Model with Facility Control Systems

    SBC: STREAMLINE AUTOMATION LLC            Topic: AF09BT16

    AEDC personnel have developed and demonstrated the effectiveness of coupling a control volume model with a wind tunnel control system. The performance of the model was hampered because parameters of the model were assumed to be constant, when they are likely variables. A method for using facility data to determine functional relationships defining these parameters would allow them to vary during ...

    STTR Phase I 2010 Department of DefenseAir Force
  9. A High Performance and Cost Effective Ultra High Performance Concrete

    SBC: i2C Solutions, LLC            Topic: AF12BT04

    ABSTRACT: Adversarial installations, such as those housing the means for nuclear weapons production, are increasingly being constructed in heavily fortified locations and often using ultra high performance concrete (UHPC) as the construction material. As such, the U.S. Air Force has considerable interest in further developments of ultra high performance concrete (UHPC) to maintain an advantage o ...

    STTR Phase I 2013 Department of DefenseAir Force
  10. Innovations in Physical Modeling and Statistical Exploitation of Electromagnetic Target Signatures

    SBC: Five Focal LLC            Topic: AF12BT06

    ABSTRACT: Feature extraction and target recognition suffer from a lack of a reliable model for both exploitable target features and the electromagnetic signature they possess. Signature data are often hard to interpret and invert to recover the target robustly. Bayesian learning approaches to statistical pattern recognition are based on the use of training sets of inputs and outputs, a data mode ...

    STTR Phase I 2013 Department of DefenseAir Force
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