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- Venkatakrishnan Singanallur Vaidyanathan
- Amir K Ziabari
- Philip Bingham
- Ryan Dehoff
- Vincent Paquit
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- Diana E Hun
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- Obaid Rahman
- Philip Boudreaux
- Victor Fanelli

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.

Neutron scattering experiments cover a large temperature range in which experimenters want to test their samples.

We will develop an AI-powered autonomous software development pipeline to help urban scientists develop advanced research software (e.g., digital twins and cyberinfrastructure) to support smart city research and management without the need to write codes or know software engin

Neutron beams are used around the world to study materials for various purposes.

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