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Researcher
- Singanallur Venkatakrishnan
- Amir K Ziabari
- Diana E Hun
- Gurneesh Jatana
- Hongbin Sun
- Jonathan Willocks
- Philip Bingham
- Philip Boudreaux
- Prashant Jain
- Ryan Dehoff
- Stephen M Killough
- Todd Toops
- Vincent Paquit
- Yeonshil Park
- Alexander I Wiechert
- Alexey Serov
- Benjamin Manard
- Bryan Maldonado Puente
- Charles F Weber
- Corey Cooke
- Costas Tsouris
- Dhruba Deka
- Gina Accawi
- Haiying Chen
- Ian Greenquist
- Ilias Belharouak
- James Szybist
- Joanna Mcfarlane
- Mark M Root
- Matt Vick
- Melanie Moses-DeBusk Debusk
- Michael Kirka
- Nate See
- Nithin Panicker
- Nolan Hayes
- Obaid Rahman
- Peter Wang
- Pradeep Ramuhalli
- Praveen Cheekatamarla
- Ruhul Amin
- Ryan Kerekes
- Sally Ghanem
- Sreshtha Sinha Majumdar
- Vandana Rallabandi
- Vishaldeep Sharma
- Vittorio Badalassi
- William P Partridge Jr
- Xiang Lyu

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

High-gradient magnetic filtration (HGMF) is a non-destructive separation technique that captures magnetic constituents from a matrix containing other non-magnetic species. One characteristic that actinide metals share across much of the group is that they are magnetic.

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.

The invention discloses methods of using a reducing agent for catalytic oxygen reduction from CO2 streams, enabling the treated CO2 streams to meet the pipeline specifications.

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.

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.

Lean-burn natural gas (NG) engines are a preferred choice for the hard-to-electrify sectors for higher efficiency and lower NOx emissions, but methane slip can be a challenge.

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