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Researcher
- Yong Chae Lim
- Rangasayee Kannan
- Stephen M Killough
- Adam Stevens
- Brian Post
- Bruce Hannan
- Bryan Lim
- Bryan Maldonado Puente
- Corey Cooke
- Diana E Hun
- Jiheon Jun
- Loren L Funk
- Nolan Hayes
- Peeyush Nandwana
- Peter Wang
- Philip Boudreaux
- Polad Shikhaliev
- Priyanshi Agrawal
- Roger G Miller
- Ryan Dehoff
- Ryan Kerekes
- Sally Ghanem
- Sarah Graham
- Sudarsanam Babu
- Theodore Visscher
- Tomas Grejtak
- Vladislav N Sedov
- William Peter
- Yacouba Diawara
- Yiyu Wang
- Yukinori Yamamoto
- Zhili Feng

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.

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.

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.

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).

Technologies for optimizing prefab retrofit panel installation using a real-time evaluator is described.