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Researcher
- Ying Yang
- Ryan Dehoff
- Venkatakrishnan Singanallur Vaidyanathan
- Alice Perrin
- Amir K Ziabari
- Michael Kirka
- Philip Bingham
- Sergiy Kalnaus
- Steven J Zinkle
- Vincent Paquit
- Yanli Wang
- Yutai Kato
- Alex Plotkowski
- Amit Shyam
- Beth L Armstrong
- Bruce A Pint
- Christopher Ledford
- Costas Tsouris
- Diana E Hun
- Georgios Polyzos
- Gerry Knapp
- Gina Accawi
- Gs Jung
- Gurneesh Jatana
- Gyoung Gug Jang
- James A Haynes
- Jaswinder Sharma
- Jong K Keum
- Mark M Root
- Mina Yoon
- Nancy Dudney
- Nicholas Richter
- Obaid Rahman
- Patxi Fernandez-Zelaia
- Philip Boudreaux
- Radu Custelcean
- Sumit Bahl
- Sunyong Kwon
- Tim Graening Seibert
- Weicheng Zhong
- Wei Tang
- Xiang Chen
- Yan-Ru Lin

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 簣 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).

We developed and incorporated two innovative mPET/Cu and mPET/Al foils as current collectors in LIBs to enhance cell energy density under XFC conditions.

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

The co-processing of cathode and composite electrolyte for solid state polymer batteries has been developed. A traditional uncalendared cathode of e.g.

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.

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.

Simurgh revolutionizes industrial CT imaging with AI, enhancing speed and accuracy in nondestructive testing for complex parts, reducing costs.