Award Data

"There are many cases within the Geothermal, Nuclear Security, Biosciences, and Oil and Gas/Exploration which require very large amounts of data to be reduced into actionable information by scientists, engineers, and technicians. Luna, partnered with the Colorado School of Mines (Mines) is proposing to develop a computational framework that uses a combination of Artificial intelligence and Machine ...

"To facilitate increased adoption of renewable energy, increasing amounts of stationary energy storage will be needed to accommodate the intermittency of wind and solar power. One promising option for grid-scale energy storage is flow batteries, which offer the flexibility of modular and scalable design while separating the energy and storage components. Commercial flow batteries rely on aqueous e ...

"The Department of Energy’s Office of Basic Energy Sciences has identified a need for new ion conducting membranes for solar fuel generator applications. Specifically, development of phase separated membranes with good proton conductivity at ambient temperatures, very low gas (fuel) diffusion/permeability, and selective ionic transport is required. Currently there are no commercially available p ...

Electron (or ion) beam orbit is a crucial requirement of nuclear physics accelerators such as the Continuous Electron Beam Accelerator Facility (CEBAF) in Jefferson Lab and the future electron-ion-collider (EIC) to be built in the Brookhaven National Lab. The beam orbit can be corrected using orbit lock, which consists of several beam position monitor (BPM) readbacks and corrector magnets. The con ...

The team of Signature Research, Inc. and Michigan Technological University will develop and demonstrate methods and metrics to evaluate the performance of machine learning-based computer vision algorithms with low numbers of samples of labeled EO imagery. We will use the existing xView panchromatic dataset to demonstrate a proof-of-concept set of tools. If successful, in Phase II, we will extend t ...

Materials sample characterization by electron microscopy with multiple modes of detection provides more robust and information-rich data, but its adoption remains limited because of the dramatic increase in off- the-microscope data analysis work. Essentially, the necessary, but labor-intensive post-acquisition data analysis for multi-modal microscopy has kept it a low throughput technique that is ...

Hydrogen has been widely used in many applications from aerospace and chemicals to fuel cells and satellite power supply. Although hydrogen is not toxic, it has a very broad flammability range (4%-74% concentration in air and 4%-94% in oxygen), leading to explosion in the presence of heat source. Thus, hydrogen monitoring is of paramount importance during the processes of hydrogen production, tran ...

Advanced embedded sensors in critical structures, systems, and components (SSCs) for online monitoring of nuclear power systems will enable informed decision-making capabilities through enhanced diagnostics. The Transformational Challenge Reactor (TCR) is a revolutionary platform to help demonstrate the ability to reduce deployment costs and timelines for nuclear energy systems using embedded sens ...

Commercial sources of rare earth elements include bastnaesite (La, Ce)FCO3, monazite, (Ce, La, Y, Th)PO4, and xenotime, YPO4. However, the processing of these materials to extract and recover the rare earth elements is challenging and very process intensive. However, there are numerous domestic sources of rare earth elements, from waste materials such as coal fly ash, which could be extracted bene ...

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 ...