Filter Results
Related Organization
- Biological and Environmental Systems Science Directorate (29)
- Computing and Computational Sciences Directorate (39)
- Energy Science and Technology Directorate
(229)
- Fusion and Fission Energy and Science Directorate
(24)
- Information Technology Services Directorate (3)
- Isotope Science and Enrichment Directorate (7)
- National Security Sciences Directorate (20)
- Physical Sciences Directorate (138)
- User Facilities (28)
- (-) Neutron Sciences Directorate (11)
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 I Kolesnikov
- Alexei P Sokolov
- Alex Walters
- Bekki Mills
- Bruce Hannan
- Bryan Maldonado Puente
- Corey Cooke
- Dave Willis
- Gina Accawi
- Gurneesh Jatana
- John Holliman II
- John Wenzel
- Joshua Vaughan
- Keju An
- Loren L Funk
- Luke Chapman
- Mark Loguillo
- Mark M Root
- Matthew B Stone
- Michael Kirka
- Nithin Panicker
- Nolan Hayes
- Obaid Rahman
- Polad Shikhaliev
- Prashant Jain
- Ryan Kerekes
- Sally Ghanem
- Shannon M Mahurin
- Sydney Murray III
- Tao Hong
- Theodore Visscher
- Tomonori Saito
- Vasilis Tzoganis
- Vasiliy Morozov
- Victor Fanelli
- Vittorio Badalassi
- 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.

How fast is a vehicle traveling? For different reasons, this basic question is of interest to other motorists, insurance companies, law enforcement, traffic planners, and security personnel. Solutions to this measurement problem suffer from a number of constraints.

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.

Recent advances in magnetic fusion (tokamak) technology have attracted billions of dollars of investments in startups from venture capitals and corporations to develop devices demonstrating net energy gain in a self-heated burning plasma, such as SPARC (under construction) and