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Researcher
- Hongbin Sun
- Venkatakrishnan Singanallur Vaidyanathan
- Alexey Serov
- Amir K Ziabari
- Diana E Hun
- Jaswinder Sharma
- Philip Bingham
- Philip Boudreaux
- Prashant Jain
- Ryan Dehoff
- Stephen M Killough
- Vincent Paquit
- Xiang Lyu
- Amit K Naskar
- Beth L Armstrong
- Bryan Maldonado Puente
- Corey Cooke
- Gabriel Veith
- Georgios Polyzos
- Gina Accawi
- Gurneesh Jatana
- Holly Humphrey
- Ian Greenquist
- Ilias Belharouak
- James Szybist
- Jonathan Willocks
- Junbin Choi
- Khryslyn G Araño
- Logan Kearney
- Mark M Root
- Marm Dixit
- Meghan Lamm
- Michael Kirka
- Michael Toomey
- Michelle Lehmann
- Nate See
- Nihal Kanbargi
- Nithin Panicker
- Nolan Hayes
- Obaid Rahman
- Peter Wang
- Pradeep Ramuhalli
- Praveen Cheekatamarla
- Ritu Sahore
- Ruhul Amin
- Ryan Kerekes
- Sally Ghanem
- Thien D. Nguyen
- Todd Toops
- Vishaldeep Sharma
- Vittorio Badalassi

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

In nuclear and industrial facilities, fine particles, including radioactive residues—can accumulate on the interior surfaces of ventilation ducts and equipment, posing serious safety and operational risks.

The invention presented here addresses key challenges associated with counterfeit refrigerants by ensuring safety, maintaining system performance, supporting environmental compliance, and mitigating health and legal risks.

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

An electrochemical cell has been specifically designed to maximize CO2 release from the seawater while also not changing the pH of the seawater before returning to the sea.

The ORNL invention addresses the challenge of poor mechanical properties of dry processed electrodes, improves their electrical properties, while improving their electrochemical performance.

A novel approach is presented herein to improve time to onset of natural convection stemming from fuel element porosity during a failure mode of a nuclear reactor.

Hydrogen is in great demand, but production relies heavily on hydrocarbons utilization. This process contributes greenhouse gases release into the atmosphere.

Recent advances in magnetic fusion (tokamak) technology have attracted billions of dollars of investments in startups from venture capitals and corporations to develop devices demonstrating net energy gain in a self-heated burning plasma, such as SPARC (under construction) and