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Researcher
- Srikanth Yoginath
- James J Nutaro
- Pratishtha Shukla
- Sudip Seal
- Adam Siekmann
- Alexander I Kolesnikov
- Alexei P Sokolov
- Ali Passian
- Bekki Mills
- Harper Jordan
- Hong Wang
- Hyeonsup Lim
- Joel Asiamah
- Joel Dawson
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- Keju An
- Mark Loguillo
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- Nance Ericson
- Pablo Moriano Salazar
- Shannon M Mahurin
- 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.

Digital twins (DTs) have emerged as essential tools for monitoring, predicting, and optimizing physical systems by using real-time data.

Simulation cloning is a technique in which dynamically cloned simulations’ state spaces differ from their parent simulation due to intervening events.

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.