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- Michael Kirka
- Ryan Dehoff
- Alex Plotkowski
- Amit Shyam
- Anees Alnajjar
- Peeyush Nandwana
- Rangasayee Kannan
- Srikanth Yoginath
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- Pratishtha Shukla
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- Sumit Bahl
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- Jaswinder Sharma
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- Jovid Rakhmonov
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- Mariam Kiran
- Nance Ericson
- Nancy Dudney
- Nicholas Richter
- Patxi Fernandez-Zelaia
- Philip Bingham
- Richard Howard
- Roger G Miller
- Samudra Dasgupta
- Sarah Graham
- Sheng Dai
- Steve Bullock
- Sudarsanam Babu
- Sunyong Kwon
- Thomas Butcher
- 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).

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.

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.

The QVis Quantum Device Circuit Optimization Module gives users the ability to map a circuit to a specific quantum devices based on the device specifications.

QVis is a visual analytics tool that helps uncover temporal and multivariate variations in noise properties of quantum devices.