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Researcher
- Singanallur Venkatakrishnan
- Alexey Serov
- Amir K Ziabari
- Andrzej Nycz
- Chris Masuo
- Diana E Hun
- Jaswinder Sharma
- Luke Meyer
- Peter Wang
- Philip Bingham
- Philip Boudreaux
- Ryan Dehoff
- Stephen M Killough
- Vincent Paquit
- William Carter
- Xiang Lyu
- Alex Walters
- Amit K Naskar
- Beth L Armstrong
- Bruce Hannan
- Bryan Maldonado Puente
- Corey Cooke
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- Georgios Polyzos
- Gina Accawi
- Gurneesh Jatana
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- James Szybist
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- Joshua Vaughan
- Junbin Choi
- Khryslyn G Araño
- Logan Kearney
- Loren L Funk
- Mark M Root
- Marm Dixit
- Meghan Lamm
- Michael Kirka
- Michael Toomey
- Michelle Lehmann
- Nihal Kanbargi
- Nolan Hayes
- Obaid Rahman
- Polad Shikhaliev
- Ritu Sahore
- Ryan Kerekes
- Sally Ghanem
- Theodore Visscher
- Todd Toops
- Vladislav N Sedov
- Yacouba Diawara

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.

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.

ORNL has developed a large area thermal neutron detector based on 6LiF/ZnS(Ag) scintillator coupled with wavelength shifting fibers. The detector uses resistive charge divider-based position encoding.

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

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

ORNL has developed a new hybrid membrane to improve electrochemical stability in next-generation sodium metal anodes.