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Researcher
- Adam Siekmann
- Alexander I Kolesnikov
- Alexei P Sokolov
- Bekki Mills
- Hong Wang
- Hyeonsup Lim
- Isaac Sikkema
- John Wenzel
- Joseph Olatt
- Keju An
- Kunal Mondal
- Mahim Mathur
- Mark Loguillo
- Matthew B Stone
- Mingyan Li
- Oscar Martinez
- Sam Hollifield
- Shannon M Mahurin
- Tao Hong
- Tomonori Saito
- Victor Fanelli
- Vivek Sujan

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.

No readily available public data exists for vehicle class and weight information that covers the entire U.S. highway network. The Travel Monitoring Analysis System, managed by the Federal Highway Administration covers only less than 1% of the US highway network.

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.

Pairing hybrid neural network modeling techniques with artificial intelligence, or AI, controls has resulted in a unique hybrid system that creates a smart solution for traffic-signal timing.
