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Researcher
- Isabelle Snyder
- Michael Kirka
- Ryan Dehoff
- Alex Plotkowski
- Amit Shyam
- Anees Alnajjar
- Peeyush Nandwana
- Rangasayee Kannan
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- Nageswara Rao
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- Sergiy Kalnaus
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- Eve Tsybina
- Femi Omitaomu
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- Gary Hahn
- Georgios Polyzos
- Gerry Knapp
- Haowen Xu
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- Jaswinder Sharma
- Joel Asiamah
- Joel Dawson
- Jovid Rakhmonov
- Keith Carver
- Mariam Kiran
- Nance Ericson
- Nancy Dudney
- Nicholas Richter
- Nils Stenvig
- Ozgur Alaca
- Patxi Fernandez-Zelaia
- Philip Bingham
- Raymond Borges Hink
- Richard Howard
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- Sarah Graham
- Sheng Dai
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- Sudarsanam Babu
- Sunyong Kwon
- Thomas Butcher
- Trevor Aguirre
- Varisara Tansakul
- Venkatakrishnan Singanallur Vaidyanathan
- Vincent Paquit
- Viswadeep Lebakula
- William Peter
- Yan-Ru Lin
- Yarom Polsky
- Yukinori Yamamoto

The eDICEML digital twin is proposed which emulates networks and hosts of an instrument-computing ecosystem. It runs natively on an ecosystem’s host or as a portable virtual machine.

Here we present a solution for practically demonstrating path-aware routing and visualizing a self-driving network.

Currently available cast Al alloys are not suitable for various high-performance conductor applications, such as rotor, inverter, windings, busbar, heat exchangers/sinks, etc.

The invented alloys are a new family of Al-Mg alloys. This new family of Al-based alloys demonstrate an excellent ductility (10 ± 2 % elongation) despite the high content of impurities commonly observed in recycled aluminum.

A pressure burst feature has been designed and demonstrated for relieving potentially hazardous excess pressure within irradiation capsules used in the ORNL High Flux Isotope Reactor (HFIR).

We developed and incorporated two innovative mPET/Cu and mPET/Al foils as current collectors in LIBs to enhance cell energy density under XFC conditions.

Faults in the power grid cause many problems that can result in catastrophic failures. Real-time fault detection in the power grid system is crucial to sustain the power systems' reliability, stability, and quality.

Digital twins (DTs) have emerged as essential tools for monitoring, predicting, and optimizing physical systems by using real-time data.

Simulation cloning is a technique in which dynamically cloned simulations’ state spaces differ from their parent simulation due to intervening events.

Water heaters and heating, ventilation, and air conditioning (HVAC) systems collectively consume about 58% of home energy use.