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
- Srikanth Yoginath
- James J Nutaro
- Pratishtha Shukla
- Sudip Seal
- Alexander Enders
- Alexander I Wiechert
- Ali Passian
- Benjamin Manard
- Bryan Lim
- Charles F Weber
- Christopher S Blessinger
- Costas Tsouris
- Diana E Hun
- Easwaran Krishnan
- Govindarajan Muralidharan
- Harper Jordan
- Isaac Sikkema
- James Manley
- Jamieson Brechtl
- Joanna Mcfarlane
- Joel Asiamah
- Joel Dawson
- Joe Rendall
- Jonathan Willocks
- Joseph Olatt
- Junghyun Bae
- Karen Cortes Guzman
- Kashif Nawaz
- Kuma Sumathipala
- Kunal Mondal
- Mahim Mathur
- Matt Vick
- Mengjia Tang
- Mingyan Li
- Muneeshwaran Murugan
- Nance Ericson
- Oscar Martinez
- Pablo Moriano Salazar
- Peeyush Nandwana
- Rangasayee Kannan
- Rose Montgomery
- Sam Hollifield
- Thomas R Muth
- Tomas Grejtak
- Tomonori Saito
- Vandana Rallabandi
- Varisara Tansakul
- Venugopal K Varma
- Yiyu Wang
- Zoriana Demchuk

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.

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.

A new nanostructured bainitic steel with accelerated kinetics for bainite formation at 200 C was designed using a coupled CALPHAD, machine learning, and data mining approach.

Digital twins (DTs) have emerged as essential tools for monitoring, predicting, and optimizing physical systems by using real-time data.

Simulation cloning is a technique in which dynamically cloned simulations’ state spaces differ from their parent simulation due to intervening events.

The incorporation of low embodied carbon building materials in the enclosure is increasing the fuel load for fire, increasing the demand for fire/flame retardants.

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.