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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. Closed-Loop Feedback Control for Transcranial Direct Current Stimulation, Phase II.

    SBC: QUANTUM APPLIED SCIENCE & RESEARCH INC            Topic: AF17BT002

    Human analysts are presented with ever-increasing amounts of data to process, taxing the limitations of human cognitive capacity. This cognitive overloading leads to increased likelihood of errors and accidents, with costly consequences in mission critical operations. Consequently, there is a rising demand for more efficient processing of increasingly large amounts of intelligence. Transcranial di ...

    STTR Phase II 2019 Department of DefenseAir Force
  2. Carbon Nanotube FET Modeling and RF circuits

    SBC: CARBON TECHNOLOGY INC            Topic: AF18BT006

    The proposed work aims at detailed investigation of Carbon Nanotube Field-Effect Transistor (CNTFET) device design and its impact on Radio-frequency (RF) circuit performance in comparison to Si-MOSFETs and related circuits at the same channel lengths. The goal is to establish a geometry scalable CNTFET compact model for RF circuit design and determine its parameters based on characteristics from b ...

    STTR Phase I 2019 Department of DefenseAir Force
  3. Carbon Nanotube FET Modeling and RF circuits

    SBC: CARBON TECHNOLOGY INC            Topic: AF18BT006

    Carbon nanotubes (CNTs) have great potential for high performance RF applications. Theoretical study has shown that the electrical current in a CNT field effect transistor (CFET) is intrinsically linear. Today, linearity is the underlying limitation in increasing the data transport densities of wireless networks. The complex modulation protocols used to achieve higher data rates requires linear am ...

    STTR Phase II 2019 Department of DefenseAir Force
  4. Environmentally-Compliant Inorganic Material(s) for Corrosion and/or Wear Protection of Structural Metals on Military Aircraft and Weapon Systems

    SBC: INNOVATIVE TECHNOLOGY INC            Topic: AF15AT31

    The proposed project will focus on qualifying amorphous-iron Particle Reinforced Metal Matrix Composite (PRMMC) coatings as replacements for Electrolytic Hard Chrome (EHC) and HVOF WC- Co wear and corrosion resistant coatings on high-strength steel components. These legacy coatings have been identified on the OSD Emerging Contaminants Watch or Action Lists, and future manufacture and maintenance o ...

    STTR Phase II 2019 Department of DefenseAir Force
  5. Space-based Passive Night Vision Vibrometer

    SBC: Wavefront            Topic: AF12BT02

    ABSTRACT: Remote sensing of surface vibration is an important modality of measures and signals intelligence (MASINT) with a wide range of military applications including target discrimination, clutter rejection, analysis of engine signatures, and seismic detection of buried threats. Other applications of remote vibrometry include remote acoustic sensing, aerial sonar, structural damage assessmen ...

    STTR Phase I 2013 Department of DefenseAir Force
  6. Low Level Signal Detection for Passive Electro-Optical Space-based Surveillance

    SBC: TOYON RESEARCH CORPORATION            Topic: AF12BT02

    ABSTRACT: Toyon Research Corporation and the University of California, Santa Barbara (UCSB) are proposing development and feasibility demonstration of advanced algorithms for the detection of vibration signatures in scattered light. The algorithms are being developed for applications including space-based electro-optical (EO)/infrared (IR) sensing at high frame rates and extremely low signal-to-n ...

    STTR Phase I 2013 Department of DefenseAir Force
  7. Biomimetic Integrated Optical Sensor Systems

    SBC: Luminit LLC            Topic: AF12BT03

    ABSTRACT: To address the Air Force"s need for a novel advanced imaging sensor concept that samples all of the information in the radiation field, taking inspiration from biological systems, Luminit proposes to develop a new Biomimetic Integrated Optical Sensor (BIOS) system. The system will be based on the unique integration of a wide field-of-view (FOV) miniature staring multi-aperture compound ...

    STTR Phase I 2013 Department of DefenseAir Force
  8. Biologically-inspired integrated vision systems

    SBC: Tanner Research, Inc.            Topic: AF12BT03

    ABSTRACT: Tanner Research, Inc., in collaboration with University of Maryland, will determine feasibility and plan for development of technology based on insect visual sensing and processing, which will integrate three modes related to navigation and guidance: motion detection from imaging sensing; polarization sensing and processing to implement a celestial compass; and ocellar sensing and proce ...

    STTR Phase I 2013 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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