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Researcher
- Singanallur Venkatakrishnan
- Amir K Ziabari
- Andrzej Nycz
- Chris Masuo
- Luke Meyer
- Philip Bingham
- Ryan Dehoff
- Vincent Paquit
- William Carter
- Alexander I Kolesnikov
- Alexei P Sokolov
- Alex Roschli
- Alex Walters
- Bekki Mills
- Brian Post
- Bruce Hannan
- Cameron Adkins
- Dave Willis
- Diana E Hun
- Gina Accawi
- Gurneesh Jatana
- Isha Bhandari
- John Wenzel
- Joshua Vaughan
- Keju An
- Liam White
- Loren L Funk
- Luke Chapman
- Mark Loguillo
- Mark M Root
- Matthew B Stone
- Michael Borish
- Michael Kirka
- Obaid Rahman
- Peter Wang
- Philip Boudreaux
- Polad Shikhaliev
- Shannon M Mahurin
- Sydney Murray III
- Tao Hong
- Theodore Visscher
- Tomonori Saito
- Vasilis Tzoganis
- Vasiliy Morozov
- Victor Fanelli
- Vladislav N Sedov
- Yacouba Diawara
- Yun Liu

ORNL researchers have developed a deep learning-based approach to rapidly perform high-quality reconstructions from sparse X-ray computed tomography measurements.

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

We have been working to adapt background oriented schlieren (BOS) imaging to directly visualize building leakage, which is fast and easy.

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.

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.