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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. Fidelity Enhancement of Nuclear Power Plant Simulators Utilizing High Fidelity Simulation Predictions

    SBC: WESTERN SERVICES CORPORATION            Topic: 30c

    Accurate simulation of nuclear power plant behavior is necessary for both engineering and training applications. An engineering grade simulator, used for design, safety analysis and operations, is characterized by high fidelity, computational power, lack of real-time capability, and user non-interactive environment. By contrast, a training grade simulator, used for operator training and education, ...

    STTR Phase I 2018 Department of Energy
  2. 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
  3. 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
  4. High Power Ceramic Disk Lasers with Gradient Doping Made by Direct Ink Writing

    SBC: Radiation Monitoring Devices, Inc.            Topic: 25c

    The power output of the high power lasers used in physics research is limited by the materials available for making the gain media in the laser. Future increases in power will require new and better materials. Operation at high power creates great thermal stresses that can lead to effects such as birefringence, thermal lensing or even physical fracture damage to the host itself. Effective cooling ...

    STTR Phase I 2018 Department of Energy
  5. 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
  6. 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
  7. 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
  8. Development of Burst-mode Laser based High-speed Microwave and Thomson Scattering Instruments for Fusion Plasma Devices

    SBC: Spectral Energies, LLC            Topic: 21a

    Fusion plasma devices at various DOE and international facilities need high-speed diagnostic tools to understand, predict, and control fusion plasmas. Thomson scattering (TS) at tens of Hz has routinely measured electron temperature (Te) and electron number density (ne) inside the plasma system. However, at these data rates traditional TS can obtain only a sparse data set, which significantly limi ...

    STTR Phase I 2018 Department of Energy
  9. System for Nighttime and Low-Light Face Recognition

    SBC: Systems & Technology Research LLC            Topic: SOCOM18A001

    Face recognition performance using deep learning has seen dramatic improvements in recent years. This improvement has been fueled in part by the curation of large labeled training datasets with millions of images of hundreds of thousands of subjects.This results in effective generalization for matching over pose, illumination, expression and age variation, however these datasets have traditionally ...

    STTR Phase I 2018 Department of DefenseSpecial Operations Command
  10. System for Nighttime and Low-Light Face Recognition

    SBC: MUKH Technologies LLC            Topic: SOCOM18A001

    Recognizing faces in low-light and nighttime conditions is a challenging problem due to the noisy and poor quality nature of the images.Thermal imaging is often used to obtain facial biometric in such conditions. Thermal face images, while having a strong signature at nighttime, are not typically maintained in biometric-enabled watch lists and so must be compared with visible-light face images to ...

    STTR Phase I 2018 Department of DefenseSpecial Operations Command
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