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Researcher
- Hongbin Sun
- Stephen M Killough
- Bruce Hannan
- Bryan Maldonado Puente
- Corey Cooke
- Diana E Hun
- Ilias Belharouak
- Loren L Funk
- Nolan Hayes
- Peter Wang
- Philip Boudreaux
- Polad Shikhaliev
- Pradeep Ramuhalli
- Praveen Cheekatamarla
- Ruhul Amin
- Ryan Kerekes
- Sally Ghanem
- Theodore Visscher
- Vishaldeep Sharma
- Vladislav N Sedov
- Yacouba Diawara

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.

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.

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

Knowing the state of charge of lithium-ion batteries, used to power applications from electric vehicles to medical diagnostic equipment, is critical for long-term battery operation.

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.