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Researcher
- Peeyush Nandwana
- Amit Shyam
- Andrzej Nycz
- Blane Fillingim
- Brian Post
- Chris Masuo
- Lauren Heinrich
- Luke Meyer
- Peter Wang
- Rangasayee Kannan
- 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
- Gordon Robertson
- Jay Reynolds
- Jeff Brookins
- John Wenzel
- Joshua Vaughan
- Keju An
- Loren L Funk
- Louise G Evans
- Luke Chapman
- Mark Loguillo
- Matthew B Stone
- Polad Shikhaliev
- Richard L. Reed
- 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
- Ying Yang
- Yiyu Wang
- Yun Liu
- Yutai Kato

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.

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.