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Researcher
- Peeyush Nandwana
- Amit Shyam
- Blane Fillingim
- Brian Post
- Lauren Heinrich
- Mike Zach
- Rangasayee Kannan
- Sudarsanam Babu
- Thomas Feldhausen
- Yousub Lee
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- Andres Marquez Rossy
- Andrew F May
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- Bryan Lim
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- Christopher Hershey
- Craig Blue
- Daniel Rasmussen
- Debjani Pal
- Gordon Robertson
- Hsin Wang
- Ian Greenquist
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- Jeffrey Einkauf
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- John Lindahl
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- Kuntal De
- Laetitia H Delmau
- Luke Sadergaski
- Nedim Cinbiz
- Padhraic L Mulligan
- Peter Wang
- Ryan Dehoff
- Sandra Davern
- Steven J Zinkle
- Tim Graening Seibert
- Tomas Grejtak
- Tony Beard
- Weicheng Zhong
- Wei Tang
- Xiang Chen
- Yanli Wang
- Ying Yang
- Yiyu Wang
- Yutai Kato

Ruthenium is recovered from used nuclear fuel in an oxidizing environment by depositing the volatile RuO4 species onto a polymeric substrate.

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.

The technologies provide a system and method of needling of veiled AS4 fabric tape.

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.

Spherical powders applied to nuclear targetry for isotope production will allow for enhanced heat transfer properties, tailored thermal conductivity and minimize time required for target fabrication and post processing.

ORNL will develop an advanced high-performing RTG using a novel radioisotope heat source.