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Researcher
- Kyle Kelley
- Rama K Vasudevan
- Adam Willoughby
- Rishi Pillai
- Sergei V Kalinin
- Anton Ievlev
- Bogdan Dryzhakov
- Brandon Johnston
- Bruce A Pint
- Charles Hawkins
- Christopher Rouleau
- Costas Tsouris
- Gs Jung
- Gyoung Gug Jang
- Ilia N Ivanov
- Ivan Vlassiouk
- Jiheon Jun
- Jong K Keum
- Kevin M Roccapriore
- Liam Collins
- Marie Romedenne
- Marti Checa Nualart
- Maxim A Ziatdinov
- Mina Yoon
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Priyanshi Agrawal
- Radu Custelcean
- Stephen Jesse
- Steven Randolph
- Yong Chae Lim
- Yongtao Liu
- Zhili Feng

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.

This technology is a laser-based heating unit that offers rapid heating profiles on a research scale with minimal incidental heating of materials processing environments.

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.

A novel molecular sorbent system for low energy CO2 regeneration is developed by employing CO2-responsive molecules and salt in aqueous media where a precipitating CO2--salt fractal network is formed, resulting in solid-phase formation and sedimentation.

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.