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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.
A diver-operated system brings safe and portable imaging to a new operating environment – underwater at depths up to 300 feet.
Simurgh revolutionizes industrial CT imaging with AI, enhancing speed and accuracy in nondestructive testing for complex parts, reducing costs.
A novel approach was applied for the preparation of polymer membranes having CO2-philic group for CO2 separation.