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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. Carbon Nanotube FET Modeling and RF Circuit Simulation

    SBC: ELECTRONICS OF THE FUTURE, INC.            Topic: AF18BT006

    The project will develop and validate a geometry scalable CNTFET compact model for HF circuit design and extract the model parameters from the measured characteristics of the fabricated devices. The ballistic and quasi-ballistic transport, quantum and parasitic effects will be accounted for the predicted performance will be compared to 130 nm RF Si-CMOS to determine the conditions for breaking eve ...

    STTR Phase I 2019 Department of DefenseAir Force
  2. Terahertz cyber security testing using artificial intelligence (FA-002)

    SBC: ELECTRONICS OF THE FUTURE, INC.            Topic: AF19BT001

    The focus of this proposal is FA-002 - artificial intelligence (AI), which will be used for the hardware cyber security. AI will link the THz and sub-THz responses at the pins to the defects and deviations from design of the integrated circuits under test. An increasing complexity of digital and mixed-signal systems makes establishing the authenticity of a chip to be a key problem. New rapid, inex ...

    STTR Phase I 2019 Department of DefenseAir Force
  3. Large Area IR Metamaterial Films

    SBC: Sensormetrix INC            Topic: N09T018

    We are proposing to develop a process for large area fabrication of metamaterial films with electromagnetic responses that can be manipulated in the infrared region to enable tailored reflectivity and emissivity. Because the approach is based on metamaterials, this technique can readily be scaled to higher or lower frequencies.

    STTR Phase II 2010 Department of DefenseNavy
  4. Directionally-Tailored Infrared Emission and/or Transmission

    SBC: Sensormetrix INC            Topic: AF10BT30

    ABSTRACT: It is proposed to demonstrate a surface fabricated using thin film metamaterial designs that can exhibit rapidly varying angular as well as spectral emissivity profiles. The technology enables specification of desired angular pattern at design time, and can be fabricated in large area formats. BENEFIT: The proposed technology will allow directional control of thermal radiation in app ...

    STTR Phase II 2013 Department of DefenseAir Force
  5. Forecasting Dynamic Group Behavior in Social Media

    SBC: PERCEPTRONICS SOLUTIONS, INC            Topic: ST12B002

    This proposal is to develop a new system for Recognition of Communities and Heterogeneous Analysis of Group Interactions and Dynamics (RC-HAGID) for Social Media Forecasting. Social media enables individuals and groups to quickly coordinate, recruit and direct people to take action in support of a particular objective. This includes terrorist groups and criminal organizations. Accordingly, for ...

    STTR Phase I 2013 Department of DefenseDefense Advanced Research Projects Agency
  6. Data Science Techniques for Various Mission Planning Processes and Performance Validation

    SBC: PERCEPTRONICS SOLUTIONS, INC            Topic: N19BT029

    Mission and planning is a difficult and time-consuming process that places a heavy burden on manpower and critical thinking and is performed under significant pressure. Existing and emerging artificial intelligence (AI) and machine learning (ML) techniques are well-suited to assisting humans with these challenges. While the promise of AI/ML is great, there are significant obstacles to operationali ...

    STTR Phase I 2019 Department of DefenseNavy
  7. Decision Making under Uncertainty

    SBC: GCAS INC            Topic: MDA13T001

    Our proposed second order uncertainty (SOU) product is a decision making software solution that addresses the problem of providing accurate and precisely defined decision courses of action (COAs) of complex, time-constrained problems in a fraction of the time required by alternative methods striving to achieve the same level of precision. Complex decision situations can deal with large volume of ...

    STTR Phase II 2016 Department of DefenseMissile Defense Agency
  8. Enhanced Sensor Resource Management Utilizing Bayesian Inference

    SBC: GCAS INC            Topic: N19AT002

    This proposal describes the use of machine learning, data mining and Bayesian inference algorithms for incorporation into a surveillance aircraft cognitive radar system. The need for incorporation of higher-order uncertainty distributions will also be assessed. This will result in enhanced sensor resource management capability for surveillance aircraft radar.

    STTR Phase I 2019 Department of DefenseNavy
  9. Random Number Generation for High Performance Computing

    SBC: FRONTIER TECHNOLOGY INC.            Topic: A10AT012

    Frontier Technology, Inc. and University of Rhode Island Physics department propose to develop innovative, scalable random number generators for use on multiple parallel computing architectures. Our Phase I effort will include a comprehensive assessment of currently available algorithms for parallel random number generation as well as the currently available tests designed to uncover statistical d ...

    STTR Phase I 2010 Department of DefenseArmy
  10. Linking Output Activity to Outcomes/Impacts in Complex Contingency Environments

    SBC: FRONTIER TECHNOLOGY INC.            Topic: OSD08T003

    As the U.S. Government increases participation in post-conflict Stabilization and Reconstruction Operations (SARO) around the globe, the ability to understand the relationships between task completion and mission completion is critical. The US Government employs a metrics tool developed though the Monitoring Progress in Conflict Environments project. The objective of this Phase II STTR is to provi ...

    STTR Phase II 2010 Department of DefenseArmy
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