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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. Fast Updatable Large-area Holographic Display

    SBC: NEW SPAN OPTO-TECHNOLOGY, INC.            Topic: AF08T001

    Two-dimensional (2D) visualization techniques have limit capacity to achieve understanding of full dimensionality of the battlefield. Rewritable 3D holographic storage is promising for updatable 3D display applications. In Phase I, New Span Opto-Technology has demonstrated novel concepts of both holographic recording technique and recording material system without the use of high voltage. We have ...

    STTR Phase II 2010 Department of DefenseAir Force
  2. Fiber-Coupled Hyperspectral Thermal LWIR Imaging Sensor Suite for Combustion System Diagnostics

    SBC: SPECTRAL ENERGIES LLC            Topic: AF17AT016

    The objective of the proposed Phase-II effort by Spectral Energies LLC is to design and develop a fiber-coupled hyperspectral thermal LWIR imaging sensor suite to provide reliable, accurate 2D surface temperature measurements with high flexibility in practical gas turbine engines and propulsion systems. During the phase-II efforts, our team will work with fiber manufacture on custom designing of a ...

    STTR Phase II 2019 Department of DefenseAir Force
  3. Game-based AutonoMy-Enabled Response (GAMER)

    SBC: BARRON ASSOCIATES, INC.            Topic: AF12BT09

    ABSTRACT: Barron Associates Inc. proposes development of a Game-based AutonoMy-Enabled Response (GAMER) system for spacecraft protection. The effort extends leading-edge research in dynamic games to enable autonomous defensive response to space threats. GAMER introduces a hierarchical approach that enables multiple satellites to work together towards a common protection strategy in an evolving en ...

    STTR Phase I 2013 Department of DefenseAir Force
  4. HASLOC: Hierarchical And-Or Structures for Localization and Object Recognition

    SBC: Intelligent Automation, Inc.            Topic: AF18AT014

    Target detection and recognition is a challenging problem because of changes in appearance, viewing direction, occlusion and other covariates. Systems that can accurately and efficiently detect and track objects can provide several benefits in surveillance, monitoring and other applications. As part of this effort, we propose to develop a robust learning-based approach to detect, track and recogni ...

    STTR Phase II 2019 Department of DefenseAir Force
  5. Highly-Scalable Computational-Based Engineering Algorithms for Emerging Parallel Machine Architectures

    SBC: RNET TECHNOLOGIES INC            Topic: AF10BT13

    ABSTRACT: RNET and The Ohio State University propose to use algorithmic modifications and multi-level parallelization techniques and tools to improve the scalability of the aero-line/aero-elastic coupled CFD/CSD codes relevant to the DoD/AF (e.g., CREATE/Kestrel). The optimizations will address inter-node and intra-node parallelization to better target emerging compute architectures (e.g., multi ...

    STTR Phase II 2013 Department of DefenseAir Force
  6. 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
  7. High Speed High Accuracy Artificial Neural Networks for UAV based Target Identification

    SBC: UHV TECHNOLOGIES, INC.            Topic: AF18BT007

    The machine learning and artificial intelligence community has recently garnered much attention for ground breaking performance of novel neural network architectures for self-driving cars. One of the machine learning methods used in self-driving cars is semantic segmentation. In this fashion each pixel in an image is label with a class, allowing for contour-based image segmentation which is differ ...

    STTR Phase I 2019 Department of DefenseAir Force
  8. High Temperature Materials for Hypersonic Radomes and Antennas

    SBC: AMERICAN TECHNICAL COATINGS, INC.            Topic: AF18AT013

    Successful completion of this Phase II proposal will fully characterize and evaluate a material for use in RF windows on hypersonic flight vehicles. Phase II will specifically examine the materials suitability through RF testing in X, Ku, and Ka bands and at elevated temperatures to 2000°F. The desired outcome will be a material with predictable, repeatable dielectric properties over frequency ...

    STTR Phase II 2019 Department of DefenseAir Force
  9. 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
  10. 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
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