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Researcher
- Vivek Sujan
- Michael Kirka
- Ryan Dehoff
- Omer Onar
- Rangasayee Kannan
- Singanallur Venkatakrishnan
- Adam Siekmann
- Adam Stevens
- Amir K Ziabari
- Christopher Ledford
- Diana E Hun
- Erdem Asa
- Peeyush Nandwana
- Philip Bingham
- Philip Boudreaux
- Stephen M Killough
- Subho Mukherjee
- Vincent Paquit
- Alice Perrin
- Beth L Armstrong
- Brian Post
- Bryan Maldonado Puente
- Corey Cooke
- Corson Cramer
- Fred List III
- Gina Accawi
- Gurneesh Jatana
- Hyeonsup Lim
- Isabelle Snyder
- James Klett
- Keith Carver
- Mark M Root
- Nolan Hayes
- Obaid Rahman
- Patxi Fernandez-Zelaia
- Peter Wang
- Richard Howard
- Roger G Miller
- Ryan Kerekes
- Sally Ghanem
- Sarah Graham
- Shajjad Chowdhury
- Steve Bullock
- Sudarsanam Babu
- Thomas Butcher
- Trevor Aguirre
- William Peter
- Yan-Ru Lin
- Ying Yang
- Yukinori Yamamoto

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

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.

A pressure burst feature has been designed and demonstrated for relieving potentially hazardous excess pressure within irradiation capsules used in the ORNL High Flux Isotope Reactor (HFIR).

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

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.

This invention presents an integrated strategy to reduce end-user electricity costs and grid carbon emissions by efficiently utilizing Distributed Energy Resources (DER) and grid-scale electrical energy storage systems, such as batteries.
Red mud residue is an industrial waste product generated during the processing of bauxite ore to extract alumina for the steelmaking industry. Red mud is rich in minerals in bauxite like iron and aluminum oxide, but also heavy metals, including arsenic and mercury.

No readily available public data exists for vehicle class and weight information that covers the entire U.S. highway network. The Travel Monitoring Analysis System, managed by the Federal Highway Administration covers only less than 1% of the US highway network.