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The Award database is continually updated throughout the year. As a result, data for FY20 is not expected to be complete until September, 2021.

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. Coupled Cluster Methods for Multi-Reference Applications

    SBC: ACES QC, LC            Topic: AF09BT40

    The objective of Phase I is to identify the strengths and weaknesses of the various multi-reference coupled-cluster (MRCC) methods that have been proposed for the description of molecular states depending upon near degeneracies and non-dynamic electron correlation. Such effects are encountered in bond breaking, at transition states, for complex open shell systems like transition metal atoms, and f ...

    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. Fast Trajectory Generation in High Fidelity Geopotentials using Finite Elements, Mascons, and Parallelism

    SBC: ANALYTICAL MECHANICS ASSOCIATES, INC.            Topic: AF09BT02

    We propose to investigate the feasibility of obtaining fast and accurate trajectories using global geopotential models representing departures from the two-body plus J2 terms. The proposed geopotential formulations and numerical integration methods rely on multi-core processors and the emerging massive parallel capabilities of Graphics Processing Units (GPUs) available to common personal computer ...

    STTR Phase I 2010 Department of DefenseAir Force
  4. Distributed Adaptive Control of Engine Systems

    SBC: AURORA FLIGHT SCIENCES CORPORATION            Topic: AF08T026

    Aurora and Georgia Tech’s Phase I efforts demonstrated the feasibility of a partially distributed control scheme with separate controllers on the engine core and fan, where the controllers are linked by a supervisory controller. This scheme is representative of the situation encountered in VTOL UAV design and the design of new turbo-props and variable pitch turbofans by the large commercial gas ...

    STTR Phase II 2010 Department of DefenseAir Force
  5. Development of Multidisciplinary, Multi-Fidelity Analysis and Integration of Aerospace Vehicles

    SBC: AURORA FLIGHT SCIENCES CORPORATION            Topic: AF08BT03

    ABSTRACT: Aurora Flight Sciences, in collaboration with the Massachusetts Institute of Technology (MIT), proposes to further develop and test in realistic settings an innovative method for representing and managing multidisciplinary design information from a wide range of analysis tools. The practical implication resulting from this novel approach is a mathematical framework to confidently determ ...

    STTR Phase II 2010 Department of DefenseAir Force
  6. Modeling Auditory Pattern Recognition and Learning with Gradient Frequency Neural Oscillator Networks

    SBC: OSCILLOSCAPE, LLC            Topic: AF09BT12

    This Small Business Technology Transfer research project addresses the perception and learning of complex sound patterns within complex auditory scenes. The objective is to model auditory signal processing, pattern recognition and learning in the human auditory system. Our novel approach simulates the nonlinear signal processing that has been observed in auditory physiology. By mimicking functiona ...

    STTR Phase I 2010 Department of DefenseAir Force
  7. A Multi-Modal State and Measurement Filter for RSO Tracking

    SBC: DECISIVE ANALYTICS CORPORATION            Topic: AF09BT11

    Joint Space Operations Center under the United States Strategic Command employs a worldwide network of 29 sensors, known as the Space Surveillance Network (SSN), to track more than 17,000 man-made objects in Earth orbit with sizes 10 centimeters or larger. Decisive Analytics Corporation and the University of Texas Austin Center for Space Research propose an innovate framework for solving stochast ...

    STTR Phase I 2010 Department of DefenseAir Force
  8. Coupled Cluster Theory (CCT)

    SBC: DECISIVE ANALYTICS CORPORATION            Topic: AF09BT40

    Single-reference coupled cluster (SRCC) methods have revolutionized our ability to accurately predict molecular energies and properties. As new developments in theory and computer science extend the application of SRCC methods to larger and larger systems, advancements in coupled cluster methods for studying multi-reference systems have lagged far behind. DECISIVE ANALYTICS Corporation has teame ...

    STTR Phase I 2010 Department of DefenseAir Force
  9. Micro Air Vehicle Tether Recovery Apparatus (MAVTRAP)

    SBC: Innovative Automation Technologies, LLC            Topic: AF08T014

    Our team proposes to develop, test, and commercialize a Micro Air Vehicle Tether Recovery APparatus (MAVTRAP). This system operates by deploying an instrumented MAV capture device attached via a tether system from a mothership unmanned air vehicle (UAV). The instrumented MAV capture device contains an integrated avionics suite. Our team will determine and control the precise mother ship UAV loi ...

    STTR Phase II 2010 Department of DefenseAir Force
  10. Signal Processing with Memristive Devices

    SBC: Microxact, Inc.            Topic: AF09BT23

    To streamline data processing in, e.g., hyperspectral imaging, new massively parallel data processing circuits are needed. The team of MicroXact Inc. and UC Santa Barbara propose to develop circuits based on completely novel computing paradigm, which could be extremely efficient (i.e. dense, relatively inexpensive, and consume very little power) for massively parallel signal processing. We offer t ...

    STTR Phase I 2010 Department of DefenseAir Force
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