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Researcher
- Ali Passian
- Ying Yang
- Ryan Dehoff
- Venkatakrishnan Singanallur Vaidyanathan
- Alice Perrin
- Amir K Ziabari
- Diana E Hun
- Michael Kirka
- Philip Bingham
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- Yanli Wang
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- Amit Shyam
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- Corey Cooke
- Costas Tsouris
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- Nance Ericson
- Nicholas Richter
- Nolan Hayes
- Obaid Rahman
- Patxi Fernandez-Zelaia
- Peter Wang
- Radu Custelcean
- Ryan Kerekes
- Sally Ghanem
- Srikanth Yoginath
- Sumit Bahl
- Sunyong Kwon
- Tim Graening Seibert
- Varisara Tansakul
- 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.

How fast is a vehicle traveling? For different reasons, this basic question is of interest to other motorists, insurance companies, law enforcement, traffic planners, and security personnel. Solutions to this measurement problem suffer from a number of constraints.

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).

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.