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
- Alexander I Wiechert
- Blane Fillingim
- Brian Post
- Costas Tsouris
- Lauren Heinrich
- Peeyush Nandwana
- Sudarsanam Babu
- Thomas Feldhausen
- Yousub Lee
- Benjamin Manard
- Charles F Weber
- Debangshu Mukherjee
- Fred List III
- Govindarajan Muralidharan
- Gs Jung
- Gyoung Gug Jang
- Isaac Sikkema
- Joanna Mcfarlane
- Jonathan Willocks
- Joseph Olatt
- Keith Carver
- Kunal Mondal
- Mahim Mathur
- Matt Vick
- Md Inzamam Ul Haque
- Mingyan Li
- Olga S Ovchinnikova
- Oscar Martinez
- Radu Custelcean
- Ramanan Sankaran
- Richard Howard
- Rose Montgomery
- Sam Hollifield
- Thomas Butcher
- Thomas R Muth
- Vandana Rallabandi
- Venugopal K Varma
- Vimal Ramanuj
- Wenjun Ge

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.

A pressure burst feature has been designed and demonstrated for relieving potentially hazardous excess pressure within irradiation capsules used in the ORNL High Flux Isotope Reactor (HFIR).

Among the methods for point source carbon capture, the absorption of CO2 using aqueous amines (namely MEA) from the post-combustion gas stream is currently considered the most promising.

This work seeks to alter the interface condition through thermal history modification, deposition energy density, and interface surface preparation to prevent interface cracking.

Additive manufacturing (AM) enables the incremental buildup of monolithic components with a variety of materials, and material deposition locations.

Ceramic matrix composites are used in several industries, such as aerospace, for lightweight, high quality and high strength materials. But producing them is time consuming and often low quality.

Real-time tracking and monitoring of radioactive/nuclear materials during transportation is a critical need to ensure safety and security. Current technologies rely on simple tagging, using sensors attached to transport containers, but they have limitations.

This innovative approach combines optical and spectral imaging data via machine learning to accurately predict cancer labels directly from tissue images.

The need for accurate temperature measurement in critical environments such as nuclear reactors is paramount for safety and efficiency.