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)
- Neutron Sciences Directorate (11)
- Physical Sciences Directorate
(138)
- User Facilities (28)
Researcher
- Sheng Dai
- Parans Paranthaman
- Bishnu Prasad Thapaliya
- Zhenzhen Yang
- Craig A Bridges
- Shannon M Mahurin
- Venkatakrishnan Singanallur Vaidyanathan
- Amir K Ziabari
- Diana E Hun
- Edgar Lara-Curzio
- Ilja Popovs
- Li-Qi Qiu
- Philip Bingham
- Philip Boudreaux
- Rob Moore II
- Ryan Dehoff
- Saurabh Prakash Pethe
- Stephen M Killough
- Tolga Aytug
- Uday Vaidya
- Vincent Paquit
- Ahmed Hassen
- Alexei P Sokolov
- Anees Alnajjar
- Benjamin Lawrie
- Ben Lamm
- Beth L Armstrong
- Bruce Moyer
- Bryan Maldonado Puente
- Chengyun Hua
- Corey Cooke
- Eric Wolfe
- Frederic Vautard
- Gabor Halasz
- Gina Accawi
- Gurneesh Jatana
- Jayanthi Kumar
- Jiaqiang Yan
- John Holliman II
- Kaustubh Mungale
- Mark M Root
- Matthew Brahlek
- Meghan Lamm
- Michael Kirka
- Nageswara Rao
- Nidia Gallego
- Nolan Hayes
- Obaid Rahman
- Peter Wang
- Petro Maksymovych
- Phillip Halstenberg
- Ryan Kerekes
- Sally Ghanem
- Santa Jansone-Popova
- Shajjad Chowdhury
- Subhamay Pramanik
- Tao Hong
- Tomonori Saito
- Vlastimil Kunc

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.

A novel strategy was developed to solve the limitations of the current sorbent systems in CO2 chemisorption in terms of energy consumption in CO2 release and improved CO2 uptake capacity.

This invention introduces a novel sintering approach to produce hard carbon with a finely tuned microstructure, derived from biomass and plastic waste.

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

The increasing demand for high-purity lanthanides, essential for advanced technologies such as electronics, renewable energy, and medical applications, presents a significant challenge due to their similar chemical properties.

With the ever-growing reliance on batteries, the need for the chemicals and materials to produce these batteries is also growing accordingly. One area of critical concern is the need for high quality graphite to ensure adequate energy storage capacity and battery stability.

Electrochemistry synthesis and characterization testing typically occurs manually at a research facility.

A bonded carbon fiber monolith was made using a coal-based pitch precursor without a binder.

To develop efficient and stable liquid sorbents towards carbon capture, a series of functionalized ionic liquids were synthesized and studied in CO2 chemisorption via O–C bond formation.