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Researcher
- Venkatakrishnan Singanallur Vaidyanathan
- Amir K Ziabari
- Andrzej Nycz
- Chris Masuo
- Diana E Hun
- Luke Meyer
- Peter Wang
- Philip Bingham
- Philip Boudreaux
- Ryan Dehoff
- Stephen M Killough
- Vincent Paquit
- William Carter
- Alexander Enders
- Alexander I Kolesnikov
- Alexei P Sokolov
- Alex Walters
- Bekki Mills
- Bruce Hannan
- Bryan Maldonado Puente
- Christopher S Blessinger
- Corey Cooke
- Dave Willis
- Gina Accawi
- Gurneesh Jatana
- John Wenzel
- Joshua Vaughan
- Junghyun Bae
- Keju An
- Loren L Funk
- Luke Chapman
- Mark Loguillo
- Mark M Root
- Matthew B Stone
- Michael Kirka
- Nolan Hayes
- Obaid Rahman
- Polad Shikhaliev
- Ryan Kerekes
- Sally Ghanem
- 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.

The lattice collimator places a grid of shielding material in front of a radiation detector to reduce the effect of background from surrounding materials and to enhance the RPM sensitivity to point sources rather than distributed sources that are commonly associated with Natur

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.