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Researcher
- Peeyush Nandwana
- Amit Shyam
- Blane Fillingim
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- Thomas Feldhausen
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- Venugopal K Varma
- Weicheng Zhong
- Wei Tang
- Xiang Chen
- Xiuling Nie
- Yanli Wang
- Ying Yang
- Yiyu Wang
- Yutai Kato

Often there are major challenges in developing diverse and complex human mobility metrics systematically and quickly.

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.

A high-strength, heat-resistant Al-Ce-Ni alloy optimized for additive manufacturing in industrial applications.

The need for accurate temperature measurement in critical environments such as nuclear reactors is paramount for safety and efficiency.