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- Michael Kirka
- Ryan Dehoff
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- Amit Shyam
- Anees Alnajjar
- Beth L Armstrong
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- Rangasayee Kannan
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- Junbin Choi
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- Khryslyn G Araño
- Logan Kearney
- Mariam Kiran
- Marm Dixit
- Meghan Lamm
- Michael Toomey
- Michelle Lehmann
- Nance Ericson
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- Nicholas Richter
- Nihal Kanbargi
- Patxi Fernandez-Zelaia
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- Sheng Dai
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- Sunyong Kwon
- Thomas Butcher
- Todd Toops
- Trevor Aguirre
- Varisara Tansakul
- Venkatakrishnan Singanallur Vaidyanathan
- Vincent Paquit
- William Peter
- Yan-Ru Lin
- 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).

An electrochemical cell has been specifically designed to maximize CO2 release from the seawater while also not changing the pH of the seawater before returning to the sea.

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.

The ORNL invention addresses the challenge of poor mechanical properties of dry processed electrodes, improves their electrical properties, while improving their electrochemical performance.

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.