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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. Computerized Robotic Delayering and Polishing System

    SBC: SPECTRAL ENERGIES LLC            Topic: DMEA18B001

    The proposed research and technical objectives in this project deal with computerized automatic delayering and polishing system that would be applicable to both commercial and government semiconductor device research and development with applications including Failure Analysis (FA), Fault Isolation (FI), and Reverse Engineering (RE) of semiconductor microelectronic devices. This project could hel ...

    STTR Phase I 2019 Department of DefenseDefense Microelectronics Activity
  2. Exploitable Physics for Recognition and Classification

    SBC: MATRIX RESEARCH INC            Topic: AF12BT06

    ABSTRACT: The objective of this effort is to develop innovative methods for deriving a sparse set of physical target features that can be used for exploitation of air to ground signature data collected from sensor systems including electro-optical, infrared, and laser radar. Current classification methods require near exact replication of the original imaging parameters, or extensive modeling in ...

    STTR Phase I 2013 Department of DefenseAir Force
  3. Autonomous Decision Making via Hierarchical Brain Emulation-- 19-009

    SBC: METRON INCORPORATED            Topic: AF19AT009

    The objective of this project is to develop human intelligence-inspired algorithms that exploit multi-modal sources of low and high quality data to achieve a series of objectives such as detection, localization, tracking, and classification. A Bayesian model-based hierarchical adaptive decision making (HADM) algorithm will be developed which includes multiple levels of decision making organized in ...

    STTR Phase I 2019 Department of DefenseAir Force
  4. Surface plasmon enhanced tunneling diode detection of THz radiation

    SBC: ITN ENERGY SYSTEMS, INC.            Topic: AF09BT33

    This Small Business Technology Transfer Research phase I program will develop a new class of uncooled THz detectors for the 1-10THz band with a novel design using surface plasmon resonant cavities with integrated metal-insulator-metal tunneling diodes as the detecting element. Tunneling diodes provide ultrafast broadband response, potentially into the visible (300THz), but demonstrated performanc ...

    STTR Phase I 2010 Department of DefenseAir Force
  5. Surface plasmon enhanced thin-film photovoltaic systems

    SBC: ITN ENERGY SYSTEMS, INC.            Topic: AF09BT39

    This Small Business Technology Transfer Research phase I program will develop a new class of surface plasmon enhanced photovoltaic devices that exhibit increased current collection. Photon management, the manipulation of the incident optical field to increase the probability that a photon is absorbed in the active region of the cell, is critical to the development of next generation thin film sol ...

    STTR Phase I 2010 Department of DefenseAir Force
  6. VLSI Compatible Silicon-on-Insulator Plasmonic Components

    SBC: ITN ENERGY SYSTEMS, INC.            Topic: AF08BT18

    This Small Business Technology Transfer Phase I project will develop ultradense, low-power plasmonic integration components and devices for on-chip manipulation and processing of optical signals. Both passive and active components will be studied. Detailed performance predictions will be obtained through finite element modeling (FEM) of the harmonic Maxwell’s equations. The FEM provides detai ...

    STTR Phase I 2010 Department of DefenseAir Force
  7. 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
  8. Modeling and Testing of RF/HPM Effects in a Voltage Controlled Oscillator

    SBC: VOSS SCIENTIFIC LLC            Topic: AF09BT08

    Military applications for the use of directed electromagnetic energy, which include high power microwave (HPM), seek to disrupt electronic systems by exploiting non-linearity in semiconductors. While current mode second breakdown is a thermal non-linearity often exploited, it has been demonstrated that a broad class of semiconductors have more subtle non-linearities that can be utilized to induce ...

    STTR Phase I 2010 Department of DefenseAir Force
  9. Multi-scale Physics-Based Models for alpha-betaTitanium Alloys Accounting for Higher-Order Microstructure Statistics.

    SBC: MRL MATERIALS RESOURCES LLC            Topic: AF09BT29

    Modern military and civilian aircraft technologies are pushing the performance envelope through design and use of new advanced materials with superior property combinations. Aircraft powerplant manufacturers are facing intense competition to efficiently deliver ever increasing thrust, while meeting the highest standards of reliability and performance over an expanded service life. These performanc ...

    STTR Phase I 2010 Department of DefenseAir Force
  10. Theoretical Innovations in Combustion Stability Research: Integrated Analysis and Computation

    SBC: Kassoy Innovative Science Solutions            Topic: AF09BT38

    Quantitative predictions of reactive flow dynamics from large-scale simulations of Liquid Rocket Engines (LRE) appear to be model dependent. Relationships and coupling among the dominant mechanisms most responsible for destabilization are obscured by the complexities of the model and subtle consequences of inherent ad hoc approximations not supported by mathematical rationale. The reliability of ...

    STTR Phase I 2010 Department of DefenseAir Force
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