Filter Results
Related Organization
- Biological and Environmental Systems Science Directorate (23)
- Computing and Computational Sciences Directorate (35)
- Energy Science and Technology Directorate
(217)
- Fusion and Fission Energy and Science Directorate (21)
- Information Technology Services Directorate (2)
- Isotope Science and Enrichment Directorate (6)
- National Security Sciences Directorate (17)
- Neutron Sciences Directorate (11)
- Physical Sciences Directorate (128)
- User Facilities (27)
Researcher
- Ilias Belharouak
- Singanallur Venkatakrishnan
- Alexey Serov
- Ali Abouimrane
- Amir K Ziabari
- Andrzej Nycz
- Chris Masuo
- Diana E Hun
- Jaswinder Sharma
- Luke Meyer
- Marm Dixit
- Peter Wang
- Philip Bingham
- Philip Boudreaux
- Ruhul Amin
- Ryan Dehoff
- Stephen M Killough
- Vincent Paquit
- William Carter
- Xiang Lyu
- Alex Walters
- Amit K Naskar
- Ben LaRiviere
- Beth L Armstrong
- Bruce Hannan
- Bryan Maldonado Puente
- Corey Cooke
- David L Wood III
- Gabriel Veith
- Georgios Polyzos
- Gina Accawi
- Gurneesh Jatana
- Holly Humphrey
- Hongbin Sun
- James Szybist
- Jonathan Willocks
- Joshua Vaughan
- Junbin Choi
- Khryslyn G Araño
- Logan Kearney
- Loren L Funk
- Lu Yu
- Mark M Root
- Meghan Lamm
- Michael Kirka
- Michael Toomey
- Michelle Lehmann
- Nance Ericson
- Nihal Kanbargi
- Nolan Hayes
- Obaid Rahman
- Paul Groth
- Polad Shikhaliev
- Pradeep Ramuhalli
- Ritu Sahore
- Ryan Kerekes
- Sally Ghanem
- Theodore Visscher
- Todd Toops
- Vladislav N Sedov
- Yacouba Diawara
- Yaocai Bai
- Zhijia Du

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

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

An electrochemical cell has been specifically designed to maximize CO2 release from the seawater while also not changing the pH of the seawater before returning to the sea.

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.

The ORNL invention addresses the challenge of poor mechanical properties of dry processed electrodes, improves their electrical properties, while improving their electrochemical performance.

Hydrogen is in great demand, but production relies heavily on hydrocarbons utilization. This process contributes greenhouse gases release into the atmosphere.

ORNL has developed a new hybrid membrane to improve electrochemical stability in next-generation sodium metal anodes.