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The Award database is continually updated throughout the year. As a result, data for FY22 is not expected to be complete until September, 2023.

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.

  1. Multiscale Fast and Distributed Data and Statistics Summarization

    SBC: Intelligent Automation, Inc.            Topic: A17AT010

    The variety, volume and velocity of data available from the internet, sensors and other sources has grown dramatically providing the opportunity to gain novel insights in many fields.  In order to derive actionable insights from these data sources many challenges must be overcome including the need to summarize or distill large amounts of data that preserve salient features/relationships and meth ...

    STTR Phase II 2020 Department of DefenseArmy
  2. Freeze Casting of Tubular Sulfer Tolerant Materials for Solid Oxide Fuel Cells

    SBC: Millennitek, LLC            Topic: A14AT011

    Solid oxide fuel cells have long suffered from degradation due to impurities in the fuel and complexities associated with dissimilar materials and high operating temperatures. This degradation lowers the usable cell power output and requires ancillary equipment for fuel sulfur removal and reformation. A unique microstructure for a tubular anode-supported SOFC is being developed using a novel freez ...

    STTR Phase II 2020 Department of DefenseArmy
  3. QADE: Quantification, Analysis, Defense and Evaluation System for Resilient and Secure Wireless Communication Operations

    SBC: Intelligent Automation, Inc.            Topic: A16AT007

    Department of Defense (DoD) operations critically rely upon efficient, robust, resilient and secure wireless network communications. Recently, machine learning (ML) has emerged as a key technology to support wireless communications systems in their adaptation to spectrum dynamics including novel adversarial threats. While ML is getting traction in wireless security applications such as detecting c ...

    STTR Phase II 2020 Department of DefenseArmy
  4. Using the Conditional Moment Closure Method to Assess the Effects of Turbulence Chemical Kinetics

    SBC: REACTION SYSTEMS, INC            Topic: A16AT001

    Predicting the emission signature and radar cross-section of rocket exhaust plumes is of vital interest to the Missile Defense Agency and U.S. Army to protect the U.S. homeland and our forces abroad.  The current STTR Phase II project has shown that a single-conditioned Premixed Conditional Moment Closure (PCMC) can employ detailed chemical kinetic mechanisms while efficiently modeling combustion ...

    STTR Phase II 2020 Department of DefenseArmy
  5. Functional Engineering of a Photosynthetic Desalination Pump Circuit

    SBC: Phytodetectors, Inc.            Topic: G

    Phytodetectors will design and engineer a synthetic biological pump circuit to increase the volume of water produced via photosynthetic desalination. This project builds off previous technology designed by Phytodetectors: a mangrove-inspired ultra-filter that allows plants to purify salt water as well as secrete water with properties comparable to bottled water. The partnership seeks to demonstrat ...

    STTR Phase I 2020 Department of EnergyARPA-E
  6. 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
  7. 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
  8. 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
  9. Mm-Wave Phased-Array Antennas with Ultra-Low-Latency Beam-Forming and Spatial-Filtering for Highly Dynamic and Mobile Satellite Communications

    SBC: Alcatera Inc.            Topic: A19CT006

    This project aims to reduce the size and cost of current AEHF front-end by the integration of a compact beam-steering antenna array. The integration consists of novel antenna design, novel steering technique, and a scalable capable architecture.

    STTR Phase I 2020 Department of DefenseArmy
  10. 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
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