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Researcher
- Stephen M Killough
- Vlastimil Kunc
- Ahmed Hassen
- Alexander I Wiechert
- Benjamin Manard
- Bryan Maldonado Puente
- Charles F Weber
- Corey Cooke
- Costas Tsouris
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- Diana E Hun
- Govindarajan Muralidharan
- Isaac Sikkema
- Jim Tobin
- Joanna Mcfarlane
- Jonathan Willocks
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- Kim Sitzlar
- Kunal Mondal
- Mahim Mathur
- Matt Vick
- Merlin Theodore
- Mingyan Li
- Nolan Hayes
- Oscar Martinez
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- Philip Boudreaux
- Rose Montgomery
- Ryan Kerekes
- Sally Ghanem
- Sam Hollifield
- Steven Guzorek
- Subhabrata Saha
- Thomas R Muth
- Vandana Rallabandi
- Venugopal K Varma
- Vipin Kumar

High-gradient magnetic filtration (HGMF) is a non-destructive separation technique that captures magnetic constituents from a matrix containing other non-magnetic species. One characteristic that actinide metals share across much of the group is that they are magnetic.

Through the use of splicing methods, joining two different fiber types in the tow stage of the process enables great benefits to the strength of the material change.

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

Real-time tracking and monitoring of radioactive/nuclear materials during transportation is a critical need to ensure safety and security. Current technologies rely on simple tagging, using sensors attached to transport containers, but they have limitations.

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.

The need for accurate temperature measurement in critical environments such as nuclear reactors is paramount for safety and efficiency.