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Researcher
- Andrzej Nycz
- Chris Masuo
- Luke Meyer
- Vincent Paquit
- William Carter
- Akash Jag Prasad
- Alexander I Kolesnikov
- Alexei P Sokolov
- Alex Walters
- Bekki Mills
- Bruce Hannan
- Bryan Lim
- Calen Kimmell
- Canhai Lai
- Chris Tyler
- Clay Leach
- Costas Tsouris
- Dave Willis
- James Haley
- James Parks II
- Jaydeep Karandikar
- John Wenzel
- Joshua Vaughan
- Keju An
- Loren L Funk
- Luke Chapman
- Mark Loguillo
- Matthew B Stone
- Peeyush Nandwana
- Peter Wang
- Polad Shikhaliev
- Rangasayee Kannan
- Ryan Dehoff
- Shannon M Mahurin
- Sydney Murray III
- Tao Hong
- Theodore Visscher
- Tomas Grejtak
- Tomonori Saito
- Vasilis Tzoganis
- Vasiliy Morozov
- Victor Fanelli
- Vladimir Orlyanchik
- Vladislav N Sedov
- Yacouba Diawara
- Yiyu Wang
- Yun Liu
- Zackary Snow

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

System and method for part porosity monitoring of additively manufactured components using machining
In additive manufacturing, choice of process parameters for a given material and geometry can result in porosities in the build volume, which can result in scrap.

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.

Sensing of additive manufacturing processes promises to facilitate detailed quality inspection at scales that have seldom been seen in traditional manufacturing processes.

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