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Researcher
- Ilias Belharouak
- Peeyush Nandwana
- Ali Abouimrane
- Amit Shyam
- Andrzej Nycz
- Blane Fillingim
- Brian Post
- Chris Masuo
- Lauren Heinrich
- Luke Meyer
- Peter Wang
- Rangasayee Kannan
- Ruhul Amin
- Sudarsanam Babu
- Thomas Feldhausen
- William Carter
- Yousub Lee
- Alexander I Kolesnikov
- Alexei P Sokolov
- Alex Plotkowski
- Alex Walters
- Andres Marquez Rossy
- Bekki Mills
- Bruce A Pint
- Bruce Hannan
- Bryan Lim
- Christopher Fancher
- Dave Willis
- David L Wood III
- Georgios Polyzos
- Gordon Robertson
- Hongbin Sun
- Jaswinder Sharma
- Jay Reynolds
- Jeff Brookins
- John Wenzel
- Joshua Vaughan
- Junbin Choi
- Keju An
- Loren L Funk
- Luke Chapman
- Lu Yu
- Mark Loguillo
- Marm Dixit
- Matthew B Stone
- Polad Shikhaliev
- Pradeep Ramuhalli
- Ryan Dehoff
- Shannon M Mahurin
- Steven J Zinkle
- Sydney Murray III
- Tao Hong
- Theodore Visscher
- Tim Graening Seibert
- Tomas Grejtak
- Tomonori Saito
- Vasilis Tzoganis
- Vasiliy Morozov
- Victor Fanelli
- Vladislav N Sedov
- Weicheng Zhong
- Wei Tang
- Xiang Chen
- Yacouba Diawara
- Yanli Wang
- Yaocai Bai
- Ying Yang
- Yiyu Wang
- Yun Liu
- Yutai Kato
- Zhijia Du

We presented a novel apparatus and method for laser beam position detection and pointing stabilization using analog position-sensitive diodes (PSDs).

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.

The ORNL invention addresses the challenge of poor mechanical properties of dry processed electrodes, improves their electrical properties, while improving their electrochemical performance.

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.

Neutron scattering experiments cover a large temperature range in which experimenters want to test their samples.

Neutron beams are used around the world to study materials for various purposes.

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.