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Researcher
- Amit Shyam
- Alex Plotkowski
- Kyle Kelley
- Rama K Vasudevan
- Hongbin Sun
- James A Haynes
- Ryan Dehoff
- Sergei V Kalinin
- Sumit Bahl
- Adam Stevens
- Alice Perrin
- Andres Marquez Rossy
- Anton Ievlev
- Bogdan Dryzhakov
- Brian Post
- Christopher Fancher
- Dean T Pierce
- Gerry Knapp
- Gordon Robertson
- Ilias Belharouak
- Jay Reynolds
- Jeff Brookins
- Jovid Rakhmonov
- Kevin M Roccapriore
- Liam Collins
- Marti Checa Nualart
- Maxim A Ziatdinov
- Neus Domingo Marimon
- Nicholas Richter
- Olga S Ovchinnikova
- Peeyush Nandwana
- Peter Wang
- Pradeep Ramuhalli
- Praveen Cheekatamarla
- Rangasayee Kannan
- Roger G Miller
- Ruhul Amin
- Sarah Graham
- Stephen Jesse
- Steven Randolph
- Sudarsanam Babu
- Sunyong Kwon
- Vishaldeep Sharma
- William Peter
- Ying Yang
- Yongtao Liu
- Yukinori Yamamoto

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.

The invention presented here addresses key challenges associated with counterfeit refrigerants by ensuring safety, maintaining system performance, supporting environmental compliance, and mitigating health and legal risks.

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.

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.

Knowing the state of charge of lithium-ion batteries, used to power applications from electric vehicles to medical diagnostic equipment, is critical for long-term battery operation.