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Researcher
- Edgar Lara-Curzio
- Ying Yang
- Adam Willoughby
- Blane Fillingim
- Brian Post
- Bruce A Pint
- Eric Wolfe
- Lauren Heinrich
- Peeyush Nandwana
- Rishi Pillai
- Steven J Zinkle
- Sudarsanam Babu
- Thomas Feldhausen
- Yanli Wang
- Yousub Lee
- Yutai Kato
- Alexander I Wiechert
- Alice Perrin
- Ben Lamm
- Beth L Armstrong
- Bishnu Prasad Thapaliya
- Brandon Johnston
- Charles Hawkins
- Christopher Ledford
- Costas Tsouris
- Debangshu Mukherjee
- Frederic Vautard
- Gs Jung
- Gyoung Gug Jang
- Jiheon Jun
- Marie Romedenne
- Md Inzamam Ul Haque
- Meghan Lamm
- Michael Kirka
- Nidia Gallego
- Olga S Ovchinnikova
- Patxi Fernandez-Zelaia
- Priyanshi Agrawal
- Radu Custelcean
- Ramanan Sankaran
- Ryan Dehoff
- Shajjad Chowdhury
- Tim Graening Seibert
- Tolga Aytug
- Vimal Ramanuj
- Weicheng Zhong
- Wei Tang
- Wenjun Ge
- Xiang Chen
- Yan-Ru Lin
- Yong Chae Lim
- Zhili Feng

High strength, oxidation resistant refractory alloys are difficult to fabricate for commercial use in extreme environments.

Ceramic matrix composites are used in several industries, such as aerospace, for lightweight, high quality and high strength materials. But producing them is time consuming and often low quality.

The first wall and blanket of a fusion energy reactor must maintain structural integrity and performance over long operational periods under neutron irradiation and minimize long-lived radioactive waste.

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 innovative approach combines optical and spectral imaging data via machine learning to accurately predict cancer labels directly from tissue images.