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Researcher
- Vivek Sujan
- Adam Siekmann
- Hongbin Sun
- Omer Onar
- Subho Mukherjee
- Venkatakrishnan Singanallur Vaidyanathan
- Amir K Ziabari
- Diana E Hun
- Erdem Asa
- Isabelle Snyder
- Philip Bingham
- Philip Boudreaux
- Prashant Jain
- Ryan Dehoff
- Stephen M Killough
- Vincent Paquit
- Bryan Maldonado Puente
- Corey Cooke
- Gina Accawi
- Gurneesh Jatana
- Hyeonsup Lim
- Ian Greenquist
- Ilias Belharouak
- John Holliman II
- Mark M Root
- Michael Kirka
- Nate See
- Nithin Panicker
- Nolan Hayes
- Obaid Rahman
- Peter Wang
- Pradeep Ramuhalli
- Praveen Cheekatamarla
- Ruhul Amin
- Ryan Kerekes
- Sally Ghanem
- Shajjad Chowdhury
- Thien D. Nguyen
- 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.

How fast is a vehicle traveling? For different reasons, this basic question is of interest to other motorists, insurance companies, law enforcement, traffic planners, and security personnel. Solutions to this measurement problem suffer from a number of constraints.

The growing demand for electric vehicles (EVs) has necessitated significant advancements in EV charging technologies to ensure efficient and reliable operation.

The growing demand for renewable energy sources has propelled the development of advanced power conversion systems, particularly in applications involving fuel cells.

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.

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.

This invention presents a multiport converter (MPC) based power supply to charge the 12 V and 24 V auxiliary batteries in heavy duty (HD) fuel cell (FC) electric vehicle (EV) power train.