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The Award database is continually updated throughout the year. As a result, data for FY21 is not expected to be complete until September, 2022.

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. Additive Manufacturing Sensor Fusion Technologies for Process Monitoring and Control.

    SBC: ARCTOS Technology Solutions, LLC            Topic: DLA18A001

    Universal Technology Corporation (UTC) has teamed with the University of Dayton Research Institute (UDRI), Stratonics, and Macy Consulting to demonstrate not only the transitionability into commercial systems, but also to develop the data analytics and monitoring and control requirements to extract the full value fromseveral sensors, including the Stratonics ThermaViz, acoustic and profilometry se ...

    STTR Phase I 2018 Department of DefenseDefense Logistics Agency
  2. Virus-Like Particle Based pan-Marburgvirus Vaccine

    SBC: Luna Innovations Incorporated            Topic: CBD18A002

    Marburg virus (MARV) is a filamentous enveloped non-segmented negative sense RNA virus. This viruse is considered to be extremelydangerous with case fatality rates as high as 88-90%. Extensive efforts have gone towards effective vaccines for MARV prevention, however,none have been successfully established as licensed vaccines. Glycoprotein (GP) is the only surface protein of MARV. There are substa ...

    STTR Phase I 2018 Department of DefenseOffice for Chemical and Biological Defense
  3. Smart Baseplate for Additive Manufacturing

    SBC: Luna Innovations Incorporated            Topic: DLA18A001

    Additive manufacturing (AM) has rapidly evolved into a valuable technique for making parts which, at times, cannot be fabricated through conventional machining methods.One challenge in the area of AM is the lack of real-time feedback on the fabrication process and the quality of the part being made.This is especially critical given the relatively long periods of time that complex parts can require ...

    STTR Phase I 2018 Department of DefenseDefense Logistics Agency
  4. Novel Circulating RNA-based Markers as Diagnostic Biomarkers of Infectious Diseases

    SBC: CFD Research Corporation            Topic: CBD18A001

    In resource limited settings, rapid and accurate diagnosis of infections is critical for managing potential exposures to highly virulent pathogens,whether occurring from an act of bioterrorism or a natural event. This is especially important for hard to detect intracellular bacterial andalphavirus infections, that overlap symptomatically and often treated empirically due to a lack of reliable and ...

    STTR Phase I 2018 Department of DefenseOffice for Chemical and Biological Defense
  5. Low-cost and Flexible Transparent Electrodes Based on Ag–ZTOF (Zn–Sn–O–F) Amorphous Composites Through Ink-jet Printing

    SBC: HAZEN RESEARCH, INC.            Topic: 09b

    Sn-doped In2O3 (ITO) is the industry standard and most widely used transparent conducting electrode (TCE) because of its good electrical and optical properties. However, ITO has a number of disadvantages: ITO is not a suitable TCE for next-generation, high-efficiency, flexible OLEDs, because of its inappropriate work function, difficulty in creating desired patterns, low stability, delaminantion d ...

    STTR Phase I 2018 Department of Energy
  6. A Concrete Additive Manufacturing Process for Fixed and Floating Wind Turbine Foundations and Towers

    SBC: JC Solutions            Topic: 14b

    Tall towers and foundations for modern offshore and land-based wind turbines are too large to transport over roads or rail due to their extremely large dimensions. Existing “one-off” on-site construction methods are too expensive, and are too slow for manufacturing foundations and towers in the large numbers needed, especially for offshore components manufactured in ports with limited lay-down ...

    STTR Phase I 2018 Department of Energy
  7. Additive Manufacturing of Scalable 3D Resonators

    SBC: GLOBAL RESEARCH & DEVELOPMENT, INC.            Topic: 29b

    This proposal is submitted in response to the SBIR/STTR Office of Science related to Quantum Information Science (QIS) Supporting Technologies. There is the need for fabrication techniques for scalable 3D Superconducting Radio Frequency (SRF) Structures for Quantum Information Systems. In this proposal we will develop an additive manufacturing approach to developing superconducting 3D microwave re ...

    STTR Phase I 2018 Department of Energy
  8. Variable Flux Machines for Hybrid Electric Vehicles

    SBC: Asymmetric Technologies LLC            Topic: 13b

    The majority of hybrid electric vehicles and electric vehicles (HEV/EV) products use interior permanent magnet (IPM) synchronous machines for traction purpose due to the efficiency and power density consideration. IPM machines use high energy density rare earth based magnet materials such as neodymium and dysprosium. Variable flux (VF) machines using abundant and cheaper soft magnets such as AlNiC ...

    STTR Phase I 2018 Department of Energy
  9. A Blockchain-enabled Peer-to-Peer Energy Trading Platform for Managing Complex Exchange of Kilowatt-hours and Negawatts

    SBC: BEMCONTROLS, LLC            Topic: 12c

    The structure of the electric utility business has long been a centralized model where an electric utility is the only authority selling electricity to, and buying excess rooftop PV generation, from customers. This is changing as utilities explore new business models including Distributed System Operator (DSO) models. On the other side of the meter, with the increasing penetration of rooftop solar ...

    STTR Phase I 2018 Department of Energy
  10. Nanoparticle Catalytic Discovery using Machine Learning Models with Chemisorption Inputs

    SBC: BIENA TECH LLC            Topic: 06a

    The mechanisms guiding nanocatalysis are poorly understood and extremely hard to model. Proposed effort attempts to provide a machine learning based platform that would guide the design of nanocatalytic materials for a variety of applications, beginning with the use of case of chloro-organic contaminant remediation. The current approaches either use conventional molecular dynamics coupled with ab ...

    STTR Phase I 2018 Department of Energy
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