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Researcher
- Benjamin Manard
- Cyril Thompson
- Stephen M Killough
- Alexander I Kolesnikov
- Alexander I Wiechert
- Alexei P Sokolov
- Bekki Mills
- Bryan Maldonado Puente
- Charles F Weber
- Corey Cooke
- Costas Tsouris
- Diana E Hun
- Joanna Mcfarlane
- John Wenzel
- Jonathan Willocks
- Keju An
- Mark Loguillo
- Matthew B Stone
- Matt Vick
- Nolan Hayes
- Peter Wang
- Philip Boudreaux
- Ryan Kerekes
- Sally Ghanem
- Shannon M Mahurin
- Tao Hong
- Tomonori Saito
- Vandana Rallabandi
- Victor Fanelli

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.

Neutron scattering experiments cover a large temperature range in which experimenters want to test their samples.

Neutron beams are used around the world to study materials for various purposes.

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

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).