Award Data

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. ...

Trabus Technologies (TRABUS), working with Louisiana State University (LSU), will develop a predictive analytics-based US Inland Waterways Voyage Planning Analysis tool to help vessel traffic managers, tow boat pilots, and river lock operators maximize transport logistic resources. This tool will use current and forecasted hydrographic, meteorological, lock status, and Marine Safety Information to ...

Electrical power is scarce at most offshore locations, so oceanographers design buoy systems to consume very little power in order to reduce the frequency of ship voyages to replace batteries. These expensive voyages can cost several tens of thousands of dollars per day. Solar and wind power can recharge batteries, but harvested power is limited and each source has shortcomings. Wave energy operat ...

Wind and solar electricity are gaining traction in the marketplace, but the electricity available from these sources is out of synch with demand Protonic ceramic electrochemical cells (PCECs) operating at intermediate temperatures (400 - 650°C) have enormous potential for electricity storage and delivery by reversible operation between electrolysis and fuel cell modes and therefore stand to addre ...

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 ...

Quantum information sciences started as a concept many years ago, transitioned to a subject of theoretical analysis, followed by experimental efforts mainly focused on controlling individual qubits Rather dramatically, the last couple of years have witnessed a significant milestone with the creation of nascent functioning quantum computers operating with tens of qubits Present quantum computers, r ...

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 ...

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 ...

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 ...

The spatiotemporal quantification of coupled hydro-biogeochemical processes between soil, plant, and atmosphere requires advances in remote sensing technologies and in understanding the link between the measured signals (ie spectral traits) and the hydro-biochemical properties While current UAV-based remote sensing technologies provide spectral reflectance in the visible- short wave infrared (VSWI ...