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Researcher
- Singanallur Venkatakrishnan
- Amir K Ziabari
- Philip Bingham
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- Vincent Paquit
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- Obaid Rahman
- Philip Boudreaux
- Raymond Borges Hink
- Srikanth Yoginath
- Tony Beard
- Varisara Tansakul
- Yarom Polsky

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

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

The technologies provide a system and method of needling of veiled AS4 fabric tape.

ORNL will develop an advanced high-performing RTG using a novel radioisotope heat source.

Electrical utility substations are wired with intelligent electronic devices (IEDs), such as protective relays, power meters, and communication switches.

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