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Researcher
- Singanallur Venkatakrishnan
- Amir K Ziabari
- Philip Bingham
- Ryan Dehoff
- Vincent Paquit
- Diana E Hun
- Fred List III
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- Vilmos Kertesz
- Xiaohan Yang
- Yang 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.

Detection of gene expression in plants is critical for understanding the molecular basis of plant physiology and plant responses to drought, stress, climate change, microbes, insects and other factors.

The invention provides on-line analysis of droplets for mass spectrometry.

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