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Researcher
- Alex Plotkowski
- Amit Shyam
- Anees Alnajjar
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- Kai Li
- Kashif Nawaz
- Kevin M Roccapriore
- Liam Collins
- Mariam Kiran
- Marti Checa Nualart
- Maxim A Ziatdinov
- Nance Ericson
- Nancy Dudney
- Nate See
- Neus Domingo Marimon
- Nicholas Richter
- Olga S Ovchinnikova
- Ondrej Dyck
- Peeyush Nandwana
- Prashant Jain
- Ryan Dehoff
- Saban Hus
- Sheng Dai
- Steven Randolph
- Sunyong Kwon
- Thien D. Nguyen
- Varisara Tansakul
- Ying Yang
- Yongtao Liu

In nuclear and industrial facilities, fine particles, including radioactive residues—can accumulate on the interior surfaces of ventilation ducts and equipment, posing serious safety and operational risks.

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.

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 invention introduces a novel, customizable method to create, manipulate, and erase polar topological structures in ferroelectric materials using atomic force microscopy.

High coercive fields prevalent in wurtzite ferroelectrics present a significant challenge, as they hinder efficient polarization switching, which is essential for microelectronic applications.

A novel approach is presented herein to improve time to onset of natural convection stemming from fuel element porosity during a failure mode of a nuclear reactor.

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