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Researcher
- Ying Yang
- Ryan Dehoff
- Singanallur Venkatakrishnan
- Adam Willoughby
- Alice Perrin
- Amir K Ziabari
- Bruce A Pint
- Diana E Hun
- Michael Kirka
- Philip Bingham
- Philip Boudreaux
- Rishi Pillai
- Stephen M Killough
- Steven J Zinkle
- Vincent Paquit
- Yanli Wang
- Yutai Kato
- Alex Plotkowski
- Amit Shyam
- Brandon Johnston
- Bryan Maldonado Puente
- Charles Hawkins
- Christopher Ledford
- Corey Cooke
- Costas Tsouris
- David S Parker
- Gerry Knapp
- Gina Accawi
- Gs Jung
- Gurneesh Jatana
- Gyoung Gug Jang
- James A Haynes
- Jiheon Jun
- Jong K Keum
- Marie Romedenne
- Mark M Root
- Mina Yoon
- Nicholas Richter
- Nolan Hayes
- Obaid Rahman
- Patxi Fernandez-Zelaia
- Peter Wang
- Priyanshi Agrawal
- Radu Custelcean
- Ryan Kerekes
- Sally Ghanem
- Sumit Bahl
- Sunyong Kwon
- Tim Graening Seibert
- Weicheng Zhong
- Wei Tang
- Xiang Chen
- Yan-Ru Lin
- Yong Chae Lim
- Zhili Feng

ORNL researchers have developed a deep learning-based approach to rapidly perform high-quality reconstructions from sparse X-ray computed tomography measurements.

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.

We have been working to adapt background oriented schlieren (BOS) imaging to directly visualize building leakage, which is fast and easy.

V-Cr-Ti alloys have been proposed as candidate structural materials in fusion reactor blanket concepts with operation temperatures greater than that for reduced activation ferritic martensitic steels (RAFMs).

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.

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

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

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.

This invention utilizes new techniques in machine learning to accelerate the training of ML-based communication receivers.

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.