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Researcher
- Singanallur Venkatakrishnan
- Amir K Ziabari
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- Md Inzamam Ul Haque
- Michael Kirka
- Nedim Cinbiz
- Nolan Hayes
- Obaid Rahman
- Olga S Ovchinnikova
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- Peter Wang
- Radu Custelcean
- Ramanan Sankaran
- Ryan Kerekes
- Sally Ghanem
- Sandra Davern
- Tony Beard
- Vimal Ramanuj
- Wenjun Ge

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

Ruthenium is recovered from used nuclear fuel in an oxidizing environment by depositing the volatile RuO4 species onto a polymeric substrate.

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

Among the methods for point source carbon capture, the absorption of CO2 using aqueous amines (namely MEA) from the post-combustion gas stream is currently considered the most promising.

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

This work seeks to alter the interface condition through thermal history modification, deposition energy density, and interface surface preparation to prevent interface cracking.

Additive manufacturing (AM) enables the incremental buildup of monolithic components with a variety of materials, and material deposition locations.

Ceramic matrix composites are used in several industries, such as aerospace, for lightweight, high quality and high strength materials. But producing them is time consuming and often low quality.

Spherical powders applied to nuclear targetry for isotope production will allow for enhanced heat transfer properties, tailored thermal conductivity and minimize time required for target fabrication and post processing.

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