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Researcher
- Alex Plotkowski
- Amit Shyam
- Kyle Kelley
- Rama K Vasudevan
- Adam Willoughby
- James A Haynes
- Rishi Pillai
- Sergei V Kalinin
- Sumit Bahl
- Alice Perrin
- Andres Marquez Rossy
- Anton Ievlev
- Bogdan Dryzhakov
- Brandon Johnston
- Bruce A Pint
- Charles Hawkins
- Gerry Knapp
- Jiheon Jun
- Jovid Rakhmonov
- Kevin M Roccapriore
- Liam Collins
- Marie Romedenne
- Marti Checa Nualart
- Maxim A Ziatdinov
- Neus Domingo Marimon
- Nicholas Richter
- Olga S Ovchinnikova
- Peeyush Nandwana
- Priyanshi Agrawal
- Ryan Dehoff
- Stephen Jesse
- Steven Randolph
- Sunyong Kwon
- Ying Yang
- Yong Chae Lim
- Yongtao Liu
- Zhili Feng

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 novel method that prevents detachment of an optical fiber from a metal/alloy tube and allows strain measurement up to higher temperatures, about 800 C has been developed. Standard commercial adhesives typically only survive up to about 400 C.

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

Test facilities to evaluate materials compatibility in hydrogen are abundant for high pressure and low temperature (<100C).

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

The technologies provide a coating method to produce corrosion resistant and electrically conductive coating layer on metallic bipolar plates for hydrogen fuel cell and hydrogen electrolyzer applications.

The technology provides a transformational approach to digitally manufacture structural alloys with co- optimized strength and environmental resistance

This invention presents technologies for characterizing physical properties of a sample's surface by combining image processing with machine learning techniques.

This invention introduces a system for microscopy called pan-sharpening, enabling the generation of images with both full-spatial and full-spectral resolution without needing to capture the entire dataset, significantly reducing data acquisition time.