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The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.

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. Instrumentation for hypersonic, air-breathing engines

    SBC: Luna Innovations Incorporated            Topic: AF09BT32

    Luna Innovations Incorporated and CURBC (Calspan – University of Buffalo Research Center) are proposing to develop miniature, high-speed, high-temperature, fiber-optic pressure sensors that will fill the void that currently exists between ground and flight test instrumentation. The sensors small size (ø 0.007”) and high-sensitivity (better than ±0.01 psi) combined with a high-speed fiber-op ...

    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. Innovative CFD Algorithm, Libraries & Python Frameworks for Hybrid-GPU Computing Architectures

    SBC: JMSI, INC            Topic: AF09BT18

    The need for faster highly resolved solutions coupled with the advent of General Purpose Graphics Processing Unit (GPGPU) architectures and the development of GPGPU algorithms at the University of California, Davis present an opportunity that JMSI Inc. proposes to leverage by developing algorithmic and software solutions for GPGPUs in “Innovative CFD Algorithms, Libraries & Python Frameworks for ...

    STTR Phase I 2010 Department of DefenseAir Force
  4. Fast, High-Order algorithms for Many-Core and GPU-based Computer Architectures

    SBC: MATHEMATICAL SYSTEMS & SOLUTIONS, INC.            Topic: AF09BT18

    We propose algorithm development and efficient GPU implementation of numerical PDE solvers based on four novel high-order methodologies: 1) High-order Discontinuous Galerkin approaches, 2) Fast High-Order boundary integral methods, 3) Convergent FFT-based methodologies for evaluation of computational boundary conditions, and 4) Fourier Continuation methods. These methodologies are applicable to a ...

    STTR Phase I 2010 Department of DefenseAir Force
  5. 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
  6. 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
  7. Fusion of a Real-time Analytical Model with Facility Control Systems

    SBC: STREAMLINE AUTOMATION LLC            Topic: AF09BT16

    AEDC personnel have developed and demonstrated the effectiveness of coupling a control volume model with a wind tunnel control system. The performance of the model was hampered because parameters of the model were assumed to be constant, when they are likely variables. A method for using facility data to determine functional relationships defining these parameters would allow them to vary during ...

    STTR Phase I 2010 Department of DefenseAir Force
  8. 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
  9. Simulation Tool for Modeling Weakly Ionized Plasma

    SBC: TECH-X CORPORATION            Topic: AF09BT10

    We propose to develop a commercial weakly ionized plasma modeling capability based off of Tech-X’s high energy density plasma fluid code TxFluids. The new additions will be able to be used to model hypersonic vehicle physics including shock waves, plasma chemistry and innovative techniques for blackout mitigation and hypersonic vehicle control through the application of electric and/or magnetic ...

    STTR Phase I 2010 Department of DefenseAir Force
  10. UAV Guidance on GPUs by Nominal Belief-State Optimization

    SBC: Apolent Corporation            Topic: AF09BT06

    We apply the theory of partially observable Markov decision processes (POMDPs) to the design of guidance algorithms for controlling the motion of unmanned aerial vehicles (UAVs) with on-board sensors for tracking multiple ground targets. While POMDPs are intractable to optimize exactly, principled approximation methods can be devised based on Bellman’s principle. We introduce a new approximation ...

    STTR Phase I 2010 Department of DefenseAir Force
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