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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. Freeform Optics for Small Arms Fire Control

    SBC: OPTOWARES INC            Topic: A19BT003

    In this program Optowares Inc., in collaboration with Professor Jay H. Park at the University of Massachusetts at Lowell (UML), proposes to develop a novel technique for uniform dispersion and alignment of short fiber reinforcement in highly loaded composite materials. The new approach combines the cutting-edge polymer composite synthesis and development methods at Optowares with the extensive exp ...

    STTR Phase I 2020 Department of DefenseArmy
  2. Low Temperature Atomic Layer Deposition of Manganese Telluride on Topological Insulator

    SBC: RADIATION MONITORING DEVICES, INC.            Topic: A19BT007

    Planar heterojunction comprised of topological insulator and magnetic insulator layers provide a unique opportunity to develop highly energy efficient electronics. The key challenge for the heterojunction is to fabricate a clean and abrupt interface between the two layers for efficient magnetic coupling. The growth of the magnetic materials should ideally be a low-temperature process in order to p ...

    STTR Phase I 2020 Department of DefenseArmy
  3. Automating U-spline fluid-structure model development for mobility applications

    SBC: Coreform LLC            Topic: A19BT006

    Dr. Thomas J.R. Hughes, senior advisor at Coreform, first introduced isogeometric analysis (IGA) in 2005. In the years since, it has been shown that smooth splines, the basic building blocks of IGA, allow for the use of relatively coarse meshes for accurate analysis in both finite element analysis (FEA) and computational fluid dynamics (CFD). Research results also show that IGA delivers improved a ...

    STTR Phase I 2020 Department of DefenseArmy
  4. Tactical Edge Sensor Processing- Edge Learning System Orchestration and Management

    SBC: HIKINO ASSOCIATES LLC            Topic: A19CT004

    Intelesense Technologies (rebranding as IoT/AI), in partnership with Southwest Research Institute (SwRI), proposes to demonstrate an Edge Learning System Orchestration and Management system. The system is distributed and hierarchical adaptation and learning system design through emulations and simulation based on IoT/AI’s work in distributed intelligence “edge as a service” systems that aggr ...

    STTR Phase I 2020 Department of DefenseArmy
  5. Machine-Learning Based Sensing and Waveform Adaptation for SDRs Operating in Congested and Contested Environment

    SBC: Space Micro Inc.            Topic: A19CT005

    Unprecedented growth in demand of wireless devices has caused overcrowding of the spectrum. Modern Software Defined Radios (SDRs) have to provide satisfactory services while transmitting/receiving in congested and contested environment. In order to do that, complex learning algorithms have to be paired with capable, flexible and wideband hardware.Space Micro and its partner research institution, t ...

    STTR Phase I 2020 Department of DefenseArmy
  6. Hydrogen Production Platform from Sunlight and Water

    SBC: TRITON SYSTEMS, INC.            Topic: A19BT015

    Triton Systems Inc will build a complete system for the portable generation of 99.999% pure hydrogen from water including greywater or wastewater. The catalysts on which the technology is based are unique in having demonstrated stable and efficient hydrogen production in non-corrosive, near-neutral water and natural water sources such as seawater. The platform will be scalable to a production rate ...

    STTR Phase I 2020 Department of DefenseArmy
  7. 5G++: Adapting 5G for Tactical mmWave Networks

    SBC: Intelligent Automation, Inc.            Topic: A19CT002

    5G technology is targeting very high throughput, low power, and low latency, which will benefit not only commercial but also tactical communication systems. Operating in millimeter wave (mmWave) bands provides high bandwidths to meet the ever-growing throughput demands in shared spectrum environments. However, 5G waveform, as it is, does not satisfy Army’s requirements on jamming resistance, low ...

    STTR Phase I 2020 Department of DefenseArmy
  8. Resilient Execution of Localized Algorithms at the Tactical Edge (RELATE)

    SBC: CHARLES RIVER ANALYTICS, INC.            Topic: A19CT004

    Warfighters engaged in tactical operations are increasingly reliant on time-sensitive sensor information collected from Internet of Battlefield Things (IoBT) devices at the tactical edge to achieve mission goals. If the information flow is disrupted or the information is not processed correctly, then mission success can be severely impacted. A tactical edge network poses unique challenges for info ...

    STTR Phase I 2020 Department of DefenseArmy
  9. Laser Activated Plasma (LAPLAS) for Standoff Electronic Denial

    SBC: ADVANCED SYSTEMS & TECHNOLOGIES INC            Topic: A19CT007

    Robotic systems in general, and Unmanned Arial Vehicles (UAVs) in particular, pose a threat for both military and civilians when in the wrong hands. The triad of Kinetic, High-Power Microwave and Laser weapon systems currently used or considered for Counter-UAV (C-UAV) operation though effective in disrupting their performance, might be hazardous when used in a populated area. In this Phase I prog ...

    STTR Phase I 2020 Department of DefenseArmy
  10. ConnextEdge: A Hierarchical Framework for Resilient Edge Analytics

    SBC: REAL-TIME INNOVATIONS, INC.            Topic: A19CT004

    The US Army aims to integrate multi-modal sensor data streams and advanced AI analytics at the tactical network edge in support of its vision for a future Internet of Battlefield Things. To maintain situational awareness within mission-acceptable levels despite dynamic conditions and infrastructure disruptions, we propose the ConnextEdge framework for resource-aware location-agnostic adaptive AI p ...

    STTR Phase I 2020 Department of DefenseArmy
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