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Researcher
- Yong Chae Lim
- Andrzej Nycz
- Kuntal De
- Rangasayee Kannan
- Udaya C Kalluri
- Adam Stevens
- Alexander I Kolesnikov
- Alexei P Sokolov
- Alex Walters
- Bekki Mills
- Biruk A Feyissa
- Brian Post
- Bryan Lim
- Chris Masuo
- Clay Leach
- Debjani Pal
- Jiheon Jun
- John Wenzel
- Keju An
- Mark Loguillo
- Matthew B Stone
- Peeyush Nandwana
- Priyanshi Agrawal
- Roger G Miller
- Ryan Dehoff
- Sarah Graham
- Shannon M Mahurin
- Sudarsanam Babu
- Tao Hong
- Tomas Grejtak
- Tomonori Saito
- Victor Fanelli
- Vincent Paquit
- William Peter
- Xiaohan Yang
- Yiyu Wang
- Yukinori Yamamoto
- Zhili Feng

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.

We present the design, assembly and demonstration of functionality for a new custom integrated robotics-based automated soil sampling technology as part of a larger vision for future edge computing- and AI- enabled bioenergy field monitoring and management technologies called

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

The technologies provide a coating method to produce corrosion resistant and electrically conductive coating layer on metallic bipolar plates for hydrogen fuel cell and hydrogen electrolyzer applications.

Welding high temperature and/or high strength materials for aerospace or automobile manufacturing is challenging.