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Researcher
- Yong Chae Lim
- Mingyan Li
- Rangasayee Kannan
- Sam Hollifield
- Zhili Feng
- Adam Stevens
- Alex Roschli
- Brian Post
- Brian Weber
- Bryan Lim
- Erin Webb
- Evin Carter
- Isaac Sikkema
- Jeremy Malmstead
- Jian Chen
- Jiheon Jun
- Joseph Olatt
- Kevin Spakes
- Kitty K Mccracken
- Kunal Mondal
- Lilian V Swann
- Luke Koch
- Mahim Mathur
- Mary A Adkisson
- Oluwafemi Oyedeji
- Oscar Martinez
- Peeyush Nandwana
- Priyanshi Agrawal
- Roger G Miller
- Ryan Dehoff
- Sarah Graham
- Soydan Ozcan
- Sudarsanam Babu
- T Oesch
- Tomas Grejtak
- Tyler Smith
- Wei Zhang
- William Peter
- Xianhui Zhao
- Yiyu Wang
- Yukinori Yamamoto

A finite element approach integrated with a novel constitute model to predict phase change, residual stresses and part deformation.

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.

The use of biomass fiber reinforcement for polymer composite applications, like those in buildings or automotive, has expanded rapidly due to the low cost, high stiffness, and inherent renewability of these materials. Biomass are commonly disposed of as waste.

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.

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.