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Researcher
- Yong Chae Lim
- Rangasayee Kannan
- Stephen M Killough
- Adam Stevens
- Brian Post
- Bryan Lim
- Bryan Maldonado Puente
- Callie Goetz
- Christopher Hobbs
- Corey Cooke
- Diana E Hun
- Eddie Lopez Honorato
- Fred List III
- Jiheon Jun
- Keith Carver
- Matt Kurley III
- Nolan Hayes
- Peeyush Nandwana
- Peter Wang
- Philip Boudreaux
- Priyanshi Agrawal
- Richard Howard
- Rodney D Hunt
- Roger G Miller
- Ryan Dehoff
- Ryan Heldt
- Ryan Kerekes
- Sally Ghanem
- Sarah Graham
- Sudarsanam Babu
- Thomas Butcher
- Tomas Grejtak
- Tyler Gerczak
- William Peter
- Yiyu Wang
- Yukinori Yamamoto
- Zhili Feng

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).

A new nanostructured bainitic steel with accelerated kinetics for bainite formation at 200 C was designed using a coupled CALPHAD, machine learning, and data mining approach.

Sintering additives to improve densification and microstructure control of UN provides a facile approach to producing high quality nuclear fuels.

This invention utilizes new techniques in machine learning to accelerate the training of ML-based communication receivers.

The technologies provide a coating method to produce corrosion resistant and electrically conductive coating layer on metallic bipolar plates for hydrogen fuel cell and hydrogen electrolyzer applications.

Welding high temperature and/or high strength materials for aerospace or automobile manufacturing is challenging.

The use of Fluidized Bed Chemical Vapor Deposition to coat particles or fibers is inherently slow and capital intensive, as it requires constant modifications to the equipment to account for changes in the characteristics of the substrates to be coated.

Current technology for heating, ventilation, and air conditioning (HVAC) and other uses such as vending machines rely on refrigerants that have high global warming potential (GWP).