Award Data

Controlled thermonuclear fusion promises to radically transform our society, providing nearly limitless renewal energy. Cost-competitive fusion requires plasma facing components (PFC) which can sustain extreme photon and energetic particle fluxes over a lifetime of years, as these components will dictate the maintenance and overhaul periods of future reactors. Robust, scalable PFCs manufacturing m ...

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. ...

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 ...

Ecological and biogeochemical processes occurring along coastal interfaces are poorly understood on a mechanistic level and critically underrepresented in current models, impeding our ability to make informed resource management decisions. Stable isotope ratio measurements, e.g., 13C/12C, can provide detail about pathways and sources by adding specificity and attribution information that concentra ...

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 ( ...

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 ...

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 ...

At 10.8% Compound annual growth rate(CAGR), Fire Protection Systems Market Size is expected to reach 9.34 Bn USD by 2025. This however reflects only the systems but does not include the services, consultancy and other operator expenses incurred by the industry sectors impacted. Modeling and implementing fire safety for nuclear power plants is an expensive and complex activity. It is difficult to c ...

In response to the Water Power Technologies Office “Co-Development of Marine Energy Technologies at Smaller Scales.” We propose a co-development of an “Oscillating Water Column” and the “Offshore Power Station”. This proposal is to design a small scale Oscillating Water Column to provide the “offshore energy” as described as one of the activities needed in the “blue economy”. W ...