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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. 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
  2. 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
  3. 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
  4. 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
  5. Adaptive Quantum-Dot Photodetectors with Bias-Tunable Barriers

    SBC: ESENSORS INC.            Topic: AF08BT02

    The proposed research program focuses on design, fabrication, and characterization of quantum-dot infrared photodetectors (QDIPs) which features bias-tunable parameters, including the spectral response, optical gain, and operating time. Wide variations of detector parameters can be realized through the bias-tunable potential barriers surrounding quantum dots. Changes in bias will transform the ba ...

    STTR Phase I 2010 Department of DefenseAir Force
  6. Plasmonic Logic Devices

    SBC: LUNA INNOVATIONS INCORPORATED            Topic: AF08BT18

    Digital electronics is approaching its limits in meeting the demand for increased processing speeds. Photonics, while promising high processing speed, is lacking integration capacity. Plasmonics promises to combine the information capacity of photonics with the integration density of electronics. The team of Luna Innovations, UCLA and Virginia Tech proposes to develop plasmonic logic devices and c ...

    STTR Phase I 2010 Department of DefenseAir Force
  7. Hybrid Carbon-Metal Nanowires Mediating Direct Electron Transfer from Redox Enzyme to Electrode

    SBC: LUNA INNOVATIONS INCORPORATED            Topic: AF09BT03

    The electron transferring unit of enzymes – apoenzyme and cofactor are deeply buried inside its protein structure, therefore efficient electronic communication between the electrode and the biocatalytic enzyme is inefficient. The development of a reproducible approach that allows efficient electronic connection between enzymes and electrodes would meet the major technical needs in the developmen ...

    STTR Phase I 2010 Department of DefenseAir Force
  8. High Speed Carbon Nanosheet Supercapacitors

    SBC: LUNA INNOVATIONS INCORPORATED            Topic: AF09BT05

    Using its novel carbon nanosheet technology, Luna Innovations will develop a Supercapacitor with the highest energy densities available in the microsecond to millisecond response times. Nanosheets are vertically aligned graphene sheets that can be grown on a wide variety of substrates without catalyst and have an open, accessible surface area that eliminate the resistance due to pores that cause ...

    STTR Phase I 2010 Department of DefenseAir Force
  9. 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
  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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