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Researcher
- Srikanth Yoginath
- James J Nutaro
- Pratishtha Shukla
- Sudip Seal
- Alexander I Kolesnikov
- Alexei P Sokolov
- Ali Passian
- Bekki Mills
- Bruce Moyer
- Bryan Lim
- Debjani Pal
- Harper Jordan
- Jeffrey Einkauf
- Jennifer M Pyles
- Joel Asiamah
- Joel Dawson
- John Wenzel
- Keju An
- Kuntal De
- Laetitia H Delmau
- Luke Sadergaski
- Mark Loguillo
- Matthew B Stone
- Nance Ericson
- Pablo Moriano Salazar
- Peeyush Nandwana
- Rangasayee Kannan
- Shannon M Mahurin
- Tao Hong
- Tomas Grejtak
- Tomonori Saito
- Varisara Tansakul
- Victor Fanelli
- Yiyu Wang

Ruthenium is recovered from used nuclear fuel in an oxidizing environment by depositing the volatile RuO4 species onto a polymeric substrate.

A new nanostructured bainitic steel with accelerated kinetics for bainite formation at 200 C was designed using a coupled CALPHAD, machine learning, and data mining approach.

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.