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Researcher
- Ali Passian
- Adam Siekmann
- Alexander I Kolesnikov
- Alexei P Sokolov
- Bekki Mills
- Claire Marvinney
- Harper Jordan
- Hong Wang
- Hyeonsup Lim
- Joel Asiamah
- Joel Dawson
- John Wenzel
- Keju An
- Mark Loguillo
- Matthew B Stone
- Nance Ericson
- Shannon M Mahurin
- Srikanth Yoginath
- Tao Hong
- Tomonori Saito
- Varisara Tansakul
- 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.

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.

Technologies directed quantum spectroscopy and imaging with Raman and surface-enhanced Raman scattering are described.