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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. Predictive Graph Convolutional Networks

    SBC: METRON INCORPORATED            Topic: N19AT017

    Increased availability of graph-structured military data and recent technical advances in neural network design and training methods has led to an opportunity to advance the state of the art while simultaneously establishing and improving the ability:(1) to monitor a platform or force, (2) to predict capabilities and limitations of the force, and (3) to suggest opportunities and vulnerabilities. ...

    STTR Phase II 2020 Department of DefenseNavy
  2. Laser Surface Modification and Galvanic Protection of 5XXX

    SBC: LUNA INNOVATIONS INCORPORATED            Topic: N18AT016

    Exfoliation corrosion of 5XXX series aluminum alloy is an issue related to sensitization of the aluminum substrate wherein internal stresses drive delamination of highly elongated outer layers due to preferential corrosion paths and volumetric expansion. The Navy is interested in preventing this corrosion to decrease lifetime costs on Littoral Combat Ships, Ship-to-Shore Connector vessels, and Tic ...

    STTR Phase II 2020 Department of DefenseNavy
  3. Multi-Modal Sensing of Sensitization and Stress Corrosion Cracking Susceptibility in AA5xxx Alloys

    SBC: LUNA INNOVATIONS INCORPORATED            Topic: N18AT010

    In order to travel faster, travel longer, and carry larger payloads, new Navy ships are being designed with light weight alloys and composite materials. High magnesium AA5xxx series alloys provide a high strength to weight ratio and excellent corrosion resistance, but suffer from sensitization as anodic ß precipitates (Al¬3Mg2) are form along grain boundaries due to a combination of elevated tem ...

    STTR Phase II 2020 Department of DefenseNavy
  4. Quantum Algorithms for Advanced Antenna Technologies

    SBC: Semicyber, LLC            Topic: AF19BT001

    Our product solution is a quantum algorithm-based electromagnetic modeling and simulation software package to run on classical computers and quantum simulators and computers.

    STTR Phase II 2020 Department of DefenseAir Force
  5. ARCHER: an AI Readiness and Control Helmet for EEG Recognition

    SBC: OmniScience LLC            Topic: AF19BT001

    Transfer learning AI approaches shall be used to customize EEG BCI models to users for monitoring vigilance decrement and task disengagement in realistic use-cases seen by UAS operators and trainees.

    STTR Phase II 2020 Department of DefenseAir Force
  6. Terahertz cyber security testing using artificial intelligence

    SBC: ELECTRONICS OF THE FUTURE, INC.            Topic: AF19BT001

    The goal this work is to use AI to interpret the THz and sub-THz responses at the pins to the defects and deviations from design of the integrated circuits under test. The key application is work is identifying hardware security treats using artificial intelligence (AI) for cyber security applications. Our approach will provide a rapid, inexpensive, and non-destructive technology address this prob ...

    STTR Phase II 2020 Department of DefenseAir Force
  7. Provably Unclonable Functions on Re-configurable Devices

    SBC: Potomac Research LLC            Topic: A18BT001

    Physically uncloneable functions (PUFs) have the potential to revolutionize cybersecurity by forming the basis for next-generation secure networks and trusted computing environments. During Phase I, Potomac Research and OSU evaluated of three physically uncloneable function (PUF) designs that can be implemented on COTS FPGAs. One design based on hybrid Boolean networks (HBN-PUFs) emerged as the cl ...

    STTR Phase II 2020 Department of DefenseArmy
  8. Systematic Fatigue Test Spectrum Editing Using Wavelet Transformations

    SBC: TECHNICAL DATA ANALYSIS, INC.            Topic: N18BT029

    Our Phase I effort showed that spectrum compression could be successfully achieved via Wavelet Transform (WT) based Fatigue Spectrum Editing (FSE) techniques for uniaxial HCF spectra cases. For example, 85% reduction in spectrum length can be achieved in the case of the original FELIX spectrum. However, the extension of the same FSE technique to multi-axial HCF cases showed less desirable results ...

    STTR Phase II 2020 Department of DefenseNavy
  9. Detection Rate Improvements Through Understanding and Modeling Ocean Variability--- Phase II-- MP-18-103

    SBC: METRON INCORPORATED            Topic: N18AT002

    Transmission loss (TL) is a key input to the sonar equation for predicting the ability of an active sonar system to detect and track a target of interest. The proposed technical effort centers on developing physics-based models to interpret and predict TL variability. The concept under development consists of a model that consumes modeled and in situ oceanographic information, estimates the likeli ...

    STTR Phase II 2020 Department of DefenseNavy
  10. Design of Easy-To-Use Structural Alloy Feedstocks for Additive Manufacturing

    SBC: ELEMENTUM 3D, INC.            Topic: A18BT003

    There is a military and industry need for easy-to-use, versatile alloys for metals additive manufacturing (3D printing) that print consistently regardless of the specific process or machine and without requiring in-depth metallurgical or manufacturing knowledge. Such capability is critical for soldiers to be able to make needed items on demand in the theater of war. In addition, the alloy will be ...

    STTR Phase II 2020 Department of DefenseArmy
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