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Researcher
- Peeyush Nandwana
- Brian Post
- Rangasayee Kannan
- Sudarsanam Babu
- Yong Chae Lim
- Amit Shyam
- Blane Fillingim
- Lauren Heinrich
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- Andres Marquez Rossy
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- Jeff Brookins
- Jiheon Jun
- Peter Wang
- Priyanshi Agrawal
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- Tomas Grejtak
- Weicheng Zhong
- Wei Tang
- William Peter
- Xiang Chen
- Yanli Wang
- Ying Yang
- Yiyu Wang
- Yukinori Yamamoto
- Yutai Kato
- Zhili Feng

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.

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