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
- Kashif Nawaz
- Joe Rendall
- Zhiming Gao
- Kai Li
- Praveen Cheekatamarla
- Venkatakrishnan Singanallur Vaidyanathan
- Vishaldeep Sharma
- Amir K Ziabari
- Diana E Hun
- James Manley
- Jamieson Brechtl
- Kyle Gluesenkamp
- Mingkan Zhang
- Philip Bingham
- Philip Boudreaux
- Ryan Dehoff
- Stephen M Killough
- Vincent Paquit
- Alexander Enders
- Alexander I Wiechert
- Benjamin Manard
- Bo Shen
- Brian Fricke
- Bryan Maldonado Puente
- Charles F Weber
- Cheng-Min Yang
- Christopher S Blessinger
- Corey Cooke
- Costas Tsouris
- Easwaran Krishnan
- Gina Accawi
- Govindarajan Muralidharan
- Gurneesh Jatana
- Hongbin Sun
- Huixin (anna) Jiang
- Isaac Sikkema
- Joanna Mcfarlane
- John Holliman II
- Jonathan Willocks
- Joseph Olatt
- Junghyun Bae
- Kunal Mondal
- Mahim Mathur
- Mark M Root
- Matt Vick
- Melanie Moses-DeBusk Debusk
- Michael Kirka
- Mingyan Li
- Muneeshwaran Murugan
- Nickolay Lavrik
- Nolan Hayes
- Obaid Rahman
- Oscar Martinez
- Pengtao Wang
- Peter Wang
- Rose Montgomery
- Ryan Kerekes
- Sally Ghanem
- Sam Hollifield
- Thomas R Muth
- Troy Seay
- Vandana Rallabandi
- Venugopal K Varma

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.

High-gradient magnetic filtration (HGMF) is a non-destructive separation technique that captures magnetic constituents from a matrix containing other non-magnetic species. One characteristic that actinide metals share across much of the group is that they are magnetic.

US coastal and island communities have vulnerable energy infrastructure and high energy costs, which are exacerbated by climate change.

The invention presented here addresses key challenges associated with counterfeit refrigerants by ensuring safety, maintaining system performance, supporting environmental compliance, and mitigating health and legal risks.

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

This invention aims to develop a new feature for a heat pump water heater having a forced flow condenser, coupled with a mixing valve, and a new feature to maximize the first hour rating and provide quick response to hot water demand, comparable to a typical gas water heater.&

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

Estimates based on the U.S. Department of Energy (DOE) test procedure for water heaters indicate that the equivalent of 350 billion kWh worth of hot water is discarded annually through drains, and a large portion of this energy is, in fact, recoverable.

The heat exchanger is a three-medium heat exchanger with phase change material (PCM) stored in the external fin tubes. It allows the refrigerant flowing inside the internal fin tubes and the air to