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Award Data

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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. Adaptive Markov Inference Game Optimization (AMIGO) for Rapid Discovery of Evasive Satellite Behaviors

    SBC: INTELLIGENT FUSION TECHNOLOGY, INC.            Topic: AF17CT02

    Space superiority requires space protection and space situational awareness (SSA), which rely on rapid and accurate space object behavioral and operational intent discovery. The presence of adversaries in addition to real-time and hidden information constraints greatly complicates the decision-making process in controlling both ground-based and space-based Air Force surveillance assets. The focus ...

    STTR Phase II 2019 Department of DefenseAir Force
  2. Full Mueller Matrix Characterization of Imaged Samples using Digital Holography

    SBC: Polaris Sensor Technologies, Inc.            Topic: AF18AT007

    The Phase II effort will be to clearly demonstrate the feasibility and build a prototype of a noncontact, high-quality holographic polarimetry system with pixel level depth and Mueller matrix information with a user-friendly interface to image and display this data. The measurements of each data product will be validated with trusted truth samples. The system will be reproducible and will have a d ...

    STTR Phase II 2019 Department of DefenseAir Force
  3. Biological Microdosimetry System

    SBC: Quinc.tech Inc.            Topic: AF18AT001

    The Biomagnetics Micro Dosimetry System (BMDS) program will design, model, and simulate a microdosimetry system that can measure and create a three dimensional map of weak radiofrequency signals in biological organisms. The heart of the BMDS project is the front end that delivers very sensitive, broad band measurements with high spatial resolution. The front end is a valuable tool in the investiga ...

    STTR Phase II 2019 Department of DefenseAir Force
  4. Holistic Interoperable Directional Data Enhancement Network

    SBC: Fuse Integration, Inc.            Topic: AF17BT003

    Currently fielded multi-beam CDL systems have been developed in an ad-hoc manner consisting of a collection of poorly integrated off the shelf technologies where controllers, radios, routers, firewalls, encryptors, and antennas are bolted together to reduce time to field. Proprietary API’s, electrical interfaces, and hardware interfaces impede the success of the approach and result in a sub ...

    STTR Phase II 2019 Department of DefenseAir Force
  5. Computationally Efficient, Accurate and Uncertainty Characterized Chemical Kinetics for Hydrocarbon Fuels

    SBC: CFD Research Corporation            Topic: AF17AT004

    High-pressure turbulent combustion occurs in many combustion devices critical to the Air Force. Notwithstanding significant progress in computational modeling of these devices; several challenges have remained. A fundamental challenge is identification of reaction pathways and reactions in small molecule foundational chemical kinetics requiring improvements under these high-pressure turbulent cond ...

    STTR Phase II 2019 Department of DefenseAir Force
  6. HASLOC: Hierarchical And-Or Structures for Localization and Object Recognition

    SBC: Intelligent Automation, Inc.            Topic: AF18AT014

    Target detection and recognition is a challenging problem because of changes in appearance, viewing direction, occlusion and other covariates. Systems that can accurately and efficiently detect and track objects can provide several benefits in surveillance, monitoring and other applications. As part of this effort, we propose to develop a robust learning-based approach to detect, track and recogni ...

    STTR Phase II 2019 Department of DefenseAir Force
  7. 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
  8. Closed-Loop Feedback Control for Transcranial Direct Current Stimulation, Phase II.

    SBC: Quantum Applied Science And 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
  9. 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
  10. A Novel, Microscale, Distributable Sensor Technology for Ionizing Radiation

    SBC: CFD Research Corporation            Topic: DTRA14B004

    Terrorist use of radioactive nuclear materials via nuclear and/or radiological dispersion devices (dirty bombs) is a serious threat. Therefore, it is crucial to detect proliferation of nuclear material. Critical challenges include: (a) high sensitivity detection of signature emissions from radioactive isotopes, and (b) cost-effectiveness for deployment of sensor networks across large storage facil ...

    STTR Phase II 2019 Department of DefenseDefense Threat Reduction Agency
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