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Researcher
- Singanallur Venkatakrishnan
- Amir K Ziabari
- Philip Bingham
- Ryan Dehoff
- Vincent Paquit
- Diana E Hun
- Fred List III
- Gina Accawi
- Gurneesh Jatana
- Huixin (anna) Jiang
- Jamieson Brechtl
- Kai Li
- Kashif Nawaz
- Keith Carver
- Mark M Root
- Michael Kirka
- Obaid Rahman
- Philip Boudreaux
- Richard Howard
- Thomas Butcher
- Xiaobing Liu

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

A pressure burst feature has been designed and demonstrated for relieving potentially hazardous excess pressure within irradiation capsules used in the ORNL High Flux Isotope Reactor (HFIR).

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

Moisture management accounts for over 40% of the energy used by buildings. As such development of energy efficient and resilient dehumidification technologies are critical to decarbonize the building energy sector.

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