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Researcher
- Ryan Dehoff
- Singanallur Venkatakrishnan
- Amir K Ziabari
- Andrzej Nycz
- Chris Masuo
- Diana E Hun
- Luke Meyer
- Michael Kirka
- Peter Wang
- Philip Bingham
- Philip Boudreaux
- Stephen M Killough
- Vincent Paquit
- William Carter
- Alexander I Kolesnikov
- Alexei P Sokolov
- Alex Walters
- Alice Perrin
- Bekki Mills
- Bruce Hannan
- Bryan Maldonado Puente
- Christopher Ledford
- Corey Cooke
- Dave Willis
- Gina Accawi
- Gurneesh Jatana
- John Wenzel
- Joshua Vaughan
- Keju An
- Loren L Funk
- Luke Chapman
- Mark Loguillo
- Mark M Root
- Matthew B Stone
- Nolan Hayes
- Obaid Rahman
- Patxi Fernandez-Zelaia
- 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
- Yan-Ru Lin
- Ying Yang
- 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.

High strength, oxidation resistant refractory alloys are difficult to fabricate for commercial use in extreme environments.