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Researcher
- Peeyush Nandwana
- Brian Post
- Rangasayee Kannan
- Sudarsanam Babu
- Yong Chae Lim
- Amit Shyam
- Andrzej Nycz
- Blane Fillingim
- Chris Masuo
- Lauren Heinrich
- Luke Meyer
- Peter Wang
- Ryan Dehoff
- Thomas Feldhausen
- William Carter
- Yousub Lee
- Zhili Feng
- Adam Stevens
- Alex Plotkowski
- Alex Walters
- Andres Marquez Rossy
- Bruce A Pint
- Bryan Lim
- Christopher Fancher
- Gordon Robertson
- Jay Reynolds
- Jeff Brookins
- Jian Chen
- Jiheon Jun
- Joshua Vaughan
- Priyanshi Agrawal
- Roger G Miller
- Sarah Graham
- Steven J Zinkle
- Tim Graening Seibert
- Tomas Grejtak
- Weicheng Zhong
- Wei Tang
- Wei Zhang
- William Peter
- Xiang Chen
- Yanli Wang
- Ying Yang
- Yiyu Wang
- Yukinori Yamamoto
- Yutai Kato

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

The lack of real-time insights into how materials evolve during laser powder bed fusion has limited the adoption by inhibiting part qualification. The developed approach provides key data needed to fabricate born qualified parts.

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.

This work seeks to alter the interface condition through thermal history modification, deposition energy density, and interface surface preparation to prevent interface cracking.

Additive manufacturing (AM) enables the incremental buildup of monolithic components with a variety of materials, and material deposition locations.

The first wall and blanket of a fusion energy reactor must maintain structural integrity and performance over long operational periods under neutron irradiation and minimize long-lived radioactive 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.