Award Data

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, ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Additive Manufacturing (AM) is a modern and increasingly popular manufacturing process for metallic components, but suffers from well known problems of inconsistent quality of the finished product. Process monitoring and feedback control are therefore crucial research areas with a goal of solving this problem. To address this concern, X-wave Innovations, Inc. (XII) and the University of Dayton Res ...

Quantifying atmospheric aerosol, clouds and precipitation processes are critical needs for understanding and interpreting Earth’s changing energy budget, is a DOE objective, and is of broader benefit to the public. Specifically, the formation of ice in the atmosphere depends on the nature and abundance of ice nucleating particles, and has major implications for precipitation and cloud interactio ...