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Researcher
- Kyle Kelley
- Rama K Vasudevan
- Adam Willoughby
- Rishi Pillai
- Sergei V Kalinin
- Aaron Werth
- Ali Passian
- Anton Ievlev
- Bogdan Dryzhakov
- Brandon Johnston
- Bruce A Pint
- Charles Hawkins
- Emilio Piesciorovsky
- Gary Hahn
- Harper Jordan
- Jason Jarnagin
- Jiheon Jun
- Joel Asiamah
- Joel Dawson
- Kevin M Roccapriore
- Liam Collins
- Marie Romedenne
- Mark Provo II
- Marti Checa Nualart
- Maxim A Ziatdinov
- Nance Ericson
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Priyanshi Agrawal
- Raymond Borges Hink
- Rob Root
- Srikanth Yoginath
- Stephen Jesse
- Steven Randolph
- Varisara Tansakul
- Yarom Polsky
- Yong Chae Lim
- Yongtao Liu
- Zhili Feng

The ever-changing cellular communication landscape makes it difficult to identify, map, and localize commercial and private cellular base stations (PCBS).

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.

Electrical utility substations are wired with intelligent electronic devices (IEDs), such as protective relays, power meters, and communication switches.

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.