Award Data

Deep Neural Networks have become ubiquitous in the modern analysis of voluminous datasets with geometric symmetries. In the field of Particle Physics, experiments such as DUNE require the detection of particle signatures interacting within the detector, with analyses of over a billion 3D event images per channel each year; with typical setups containing over 150,000 different channels.  In an ...

We propose to develop a theoretical understanding of the relationship between intrinsic geometric structure in both training and latent data and characteristics of functions learned from that data for deep neural network (DNN) architectures. Along the way we propose to also understand the structure of the neural networks that are best trained on a given data set. Both of these theories will lead t ...

High Temperature Superconducting (HTS) materials have excellent mechanical and electrical properties that are attractive for various applications such as power cables and high field, high current superconducting magnets, particularly playing a key role in the commercialization of fusion energy machines. However, HTS materials have very slow normal zone propagation velocities (NZPV) (2-3 orders of ...

Idaho National Laboratory (INL), under funding from the Critical Materials Institute(CMI), has developed a US patented technology to reclaim valuable metals from waste electronic equipment. The Electrochemical Recycling Electronic Constituents of Value (E-RECOV) method uses an electrochemical cell to efficiently recover the bulk of metals from discarded electronics, leading to more complete recycl ...

Over 468 billion cubic feet of natural gas was flared in the United State in 2018. This emitted nearly 25 million tons of CO2 while wasting an important domestic energy resource. This “stranded” natural gas, co-produced by shale oil wells, was flared because it is not cost-effective to transport due to low energy density. Although it would be highly desirable to convert this currently flared n ...

Currently spark ignition (SI) engines dominate the light vehicle market, with over 80 million light vehicle engines made worldwide. These SI engines experience exceptionally poor efficiency at low to medium loads and speeds, making it difficult to meet new fuel efficiency standards expected to be imposed in many countries. Low wall temperatures at the end of the combustion process leads to emissio ...

This project focuses on the design, integration and optimization of a flexible natural gas combined cycle plant with carbon capture, capable of operating in a highly variable renewable energy environment. Renewable energy sources such as wind and solar power offer unique solutions in our quest to reduce global carbon dioxide (CO2) emissions. However, the increasing penetration of these high variab ...

This project focuses on the design, integration and optimization of a flexible natural gas combined cycle plant with carbon capture, capable of operating in a highly variable renewable energy environment. Renewable energy sources such as wind and solar power offer unique solutions in our quest to reduce global carbon dioxide (CO2) emissions. However, the increasing penetration of these high variab ...

Intense short pulse lasers are playing increasingly important role in high-energy physics research. Laser based electron accelerators are innovative tools to obtain GeV to TeV electron energies for high-energy particle physics experiments. The development of such lasers puts stringent challenges on the very limits of the laser materials themselves. The goal of this project is to develop Ho:sesquio ...

The development of a multi-TeV e+e- linear collider is a key priority set by the P5 panel, which established the long-term strategy of the U.S. HEP program. A Two-Beam Acceleration (TBA) is one of the most promising approaches for this facility due to its potential for achieving high efficiency and the ability to accelerate particles with positive and negative charges. However, there are still cha ...