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Researcher
- Amit Shyam
- Alex Plotkowski
- Srikanth Yoginath
- Ali Riza Ekti
- Anees Alnajjar
- James A Haynes
- James J Nutaro
- Pratishtha Shukla
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- Sergiy Kalnaus
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- Sumit Bahl
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- Andres Marquez Rossy
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- Burak Ozpineci
- Christopher Fancher
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- Georgios Polyzos
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- Joel Asiamah
- Joel Dawson
- Joseph Olatt
- Jovid Rakhmonov
- Kunal Mondal
- Mahim Mathur
- Mariam Kiran
- Mingyan Li
- Mostak Mohammad
- Nageswara Rao
- Nance Ericson
- Nancy Dudney
- Nicholas Richter
- Nils Stenvig
- Omer Onar
- Oscar Martinez
- Ozgur Alaca
- Peeyush Nandwana
- Peter L Fuhr
- Peter Wang
- Rangasayee Kannan
- Roger G Miller
- Sam Hollifield
- Sarah Graham
- Sheng Dai
- Sudarsanam Babu
- Sunyong Kwon
- Varisara Tansakul
- William Peter
- Yarom Polsky
- Ying Yang
- Yukinori Yamamoto

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.

This technology can help to increase number of application areas of Wireless Power Transfer systems. It can be applied to consumer electronics, defense industry, automotive industry etc.

The lack of real-time insights into how materials evolve during laser powder bed fusion has limited the adoption by inhibiting part qualification. The developed approach provides key data needed to fabricate born qualified parts.

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.