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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. Rapid Prototyped 3D Printed Filters for CW Agent Protection

    SBC: TDA RESEARCH, INC.            Topic: A18BT018

    Defense against chemical weapons is a critical DoD requirement. An effective defense requires the development of unique respirator systems that prevent inhalation of chemical warfare (CW) agents. In addition, the protective equipment exposed to CW agents must not pose a residual hazard after use in the battlefield. Existing respirator canisters remove CW agents, but they do not self-decontaminate ...

    STTR Phase I 2019 Department of DefenseArmy
  2. Carbon Nanotube FET Modeling and RF circuits

    SBC: CARBON TECHNOLOGY INC            Topic: AF18BT006

    Carbon nanotubes (CNTs) have great potential for high performance RF applications. Theoretical study has shown that the electrical current in a CNT field effect transistor (CFET) is intrinsically linear. Today, linearity is the underlying limitation in increasing the data transport densities of wireless networks. The complex modulation protocols used to achieve higher data rates requires linear am ...

    STTR Phase II 2019 Department of DefenseAir Force
  3. Clearance of Aircraft Stores Carriage under Uncertainty

    SBC: CMSOFT, INC.            Topic: AF18BT008

    The main objective of this STTR effort is three-fold. First, to develop and demonstrate in Phase I a Bayesian methodology exploiting flight test data in order to identify critical store carriage tests and clear non-critical store carriage configurations by updated analysis. Second, to extend in Phase II the scope of this methodology to viscous flows with analysis enriched using analytical sensitiv ...

    STTR Phase I 2019 Department of DefenseAir Force
  4. Tunable bioinspired spatially-varying random photonic crystals

    SBC: Electro Magnetic Applications, Inc.            Topic: AF19AT017

    Metamaterials and photonic crystals are engineered composites that exhibit novel and interesting properties not found using ordinary materials. They have been shown to allow extraordinary control over the electromagnetic field, including molding the flow of energy, amplitude profile of the field, phase of the waves, intermodal coupling, and more. To achieve such control, a set of tools and procedu ...

    STTR Phase I 2019 Department of DefenseAir Force
  5. Innovations in Designing Damage Tolerant Rotorcraft Components by Interface Tailoring

    SBC: Global Engineering and Materials, Inc.            Topic: N19AT003

    Global Engineering and Materials, Inc. (GEM) along with its team member, the University of Wisconsin-Madison (UW-M), propose to develop printed polymer reinforcement via additive manufacturing to provide patterns at the interlaminar regions in traditional prepreg composites with the goal of improving their interlaminar properties under mixed mode loading. Two key components will be performed under ...

    STTR Phase I 2019 Department of DefenseNavy
  6. Predictive Graph Convolutional Networks

    SBC: Arete Associates            Topic: N19AT017

    The US Navy’s mission to maintain, train and equip combat-ready Naval forces requires that decision makers have situational awareness of the capabilities, limitations, vulnerabilities/opportunities for adversarial and allied forces. An incomplete or inaccurate understanding of the current landscape and associated trends could lead to suboptimal mission readiness and outcomes. Analysts need tools ...

    STTR Phase I 2019 Department of DefenseNavy
  7. Predictive Graph Convolutional Networks- 19-008

    SBC: METRON INCORPORATED            Topic: N19AT017

    Metron and Northeastern University propose to design, develop, and validate a proof-of-concept predictive Graph Convolutional Network (GCN) capability using open source Reddit and GDELT data. We propose: (1) to extract and preprocess open-source Reddit and GDELT data, (2) to design a predictive graph convolutional neural network model, (3) to implement and train that model, and (4) to validate the ...

    STTR Phase I 2019 Department of DefenseNavy
  8. Magnetoelectric Modules for Scavenging UAV Power from Electric Utility Lines

    SBC: NANOSONIC INC.            Topic: N19AT019

    NanoSonic will work with Penn State to develop, demonstrate and manufacture materials and systems to allow unmanned aerial vehicles (UAVs) to scavenge magnetic field energy from electric power lines and operate continuously in the field. NanoSonic will work with energy harvesting researcher Dr. Shashank Priya and a major US aerospace company to design, fabricate and demonstrate a prototype system ...

    STTR Phase I 2019 Department of DefenseNavy
  9. Seamless Wireless Charging of Micro and Small Unmanned Aerial System Through Local Power Transmission Infrastructure

    SBC: EH GROUP INC            Topic: N19AT019

    Wireless charging of unmanned aerial system (UAS) platforms from the environment has the potential to greatly increase flight and mission times. A promising option is to use electromagnetic fields from the power transmission infrastructure as an energy source. EH Group and the University of Alabama propose a design for UAS wireless charging in the near-field environment of the commercial power tra ...

    STTR Phase I 2019 Department of DefenseNavy
  10. Energy Scavenging to Power Fielded Unmanned Aerial Systems

    SBC: LUNA INNOVATIONS INCORPORATED            Topic: N19AT019

    Unmanned aerial systems (UAS) provide strategic advantage for our nation’s warfighters, and the use of micro- and small-scale platforms on the battlefield is expected to increase significantly in coming years. This presents a logistical challenge in managing how system batteries are recharged throughout the UAS lifespan. The desired goal is to develop power systems that enable persistent deploym ...

    STTR Phase I 2019 Department of DefenseNavy
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