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Researcher
- Peeyush Nandwana
- Ryan Dehoff
- Blane Fillingim
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- Sudarsanam Babu
- Amit Shyam
- Andrzej Nycz
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- Singanallur Venkatakrishnan
- Steven J Zinkle
- Theodore Visscher
- Tim Graening Seibert
- Tomas Grejtak
- Vipin Kumar
- Vladislav N Sedov
- Vlastimil Kunc
- Weicheng Zhong
- Wei Tang
- William Peter
- Xiang Chen
- Yacouba Diawara
- Yan-Ru Lin
- Yanli Wang
- Yiyu Wang
- Yukinori Yamamoto
- Yutai Kato

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.

ORNL has developed a large area thermal neutron detector based on 6LiF/ZnS(Ag) scintillator coupled with wavelength shifting fibers. The detector uses resistive charge divider-based position encoding.

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.

High strength, oxidation resistant refractory alloys are difficult to fabricate for commercial use in extreme environments.

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.