Award Data

DOE seeks development of optimized wind-compatible power converters for industry collaboration with potential cost savings, increased power performance, grid support and to move the grid connection power module from the wind turbine nacelle. Our project approach is to develop a much lower cost, smaller weight, smaller size solid state power converter (PFC PDK), utilizing commercial silicon carbide ...

Metal mesh filters are used to control the transmission of infrared through terahertz radiation in a variety of systems including sensors, cameras, and high-performance telescopes. Currently, high-performance metal mesh infrared filters are fabricated using photolithography but this is a costly and time consuming process and it is limited to filter diameters of 300 mm or less (the largest size tha ...

Membrane technologies are currently the lowest cost option for desalination of water and purification of other liquid and gas streams. There is a need to develop continuous, precise, and smart manufacturing techniques that have the potential to lower the cost and facilitate the adoption of high-performance membrane materials and design architectures. Membranes are currently produced by large scale ...

The DOE’s Light Water Reactor Sustainability (LWRS) program has funded 2 software packages, LOGOS and SR2ML. One of the key goals of LWRS is to manage the aging of systems, structures, and components (SSCs) so nuclear power plants can continue to operate safely and cost-effectively. The Safety, Risk, Reliability Model Library (SR2ML) is a software package that contains a set of reliability model ...

At several workshops held at Oak Ridge National Laboratory (ORNL) over the past 5 years, members of several U.S. scientific communities stressed the need for an advanced capability for measuring slow molecular motions in complex fluids such as polymers and biomaterials. The technique preferred by these researchers is called Neutron Spin Echo (NSE). While there are two NSE spectrometers in the U.S. ...

We are suggesting a unique hybrid wellbore health estimation solution, based on combining finite element analysis with machine learning. The access to underground energy resources is mainly provided by wellbores. It is estimated that more than 90% of the US total energy supply depends on some form of wellbore and the number of wells drilled will continue to increase. Ensuring long term integrity i ...

Most superconducting accelerator magnets are presently based on a conventional “cosine theta” design. Typically, the magnet length vastly exceeds the aperture, and the loss in effective length from the ends (about a coil diameter in typical dipoles) is relatively small. However, for relatively short magnets such as those envisioned for the Interaction Region (IR) of the Electron Ion Collider ( ...

Accelerator-based x-ray spectroscopy and aberration-corrected electron microscopy are workhorse high- resolution tools for the visualizing the structure and chemistry of materials. The incredible resolving power of these techniques has historically been utilized only to study static structures because of the ultra-high vacuum requirements of the instrumentation. However, development of battery ano ...

Quantum networks will be tasked with entangling physically separated quantum nodes and facilitating secure communication between distant parties. This necessitates the development of devices that can support high data rate transparent optical quantum networks that coexist with classical networks on a shared optical fiber transmission system. Freedom Photonics will develop a Quantum All-Optical Tra ...

Cybersecurity in HPC environments operates at much larger scales than traditional IT domains and the traditional Machine learning networks are not fast enough to handle large volumes of computations. Neural networks combined with Edge-based hardware-resident next-generation technologies such as neuromorphic processors can monitor and even predict events in high throughput environments and hence pr ...