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
- Alex Plotkowski
- Amit Shyam
- James A Haynes
- Sumit Bahl
- Adam Siekmann
- Alexander I Wiechert
- Alice Perrin
- Andres Marquez Rossy
- Benjamin Manard
- Charles F Weber
- Costas Tsouris
- Gerry Knapp
- Govindarajan Muralidharan
- Hong Wang
- Hyeonsup Lim
- Isaac Sikkema
- Joanna Mcfarlane
- Jonathan Willocks
- Joseph Olatt
- Jovid Rakhmonov
- Kunal Mondal
- Mahim Mathur
- Matt Vick
- Mingyan Li
- Nicholas Richter
- Oscar Martinez
- Peeyush Nandwana
- Rose Montgomery
- Ryan Dehoff
- Sam Hollifield
- Sunyong Kwon
- Thomas R Muth
- Vandana Rallabandi
- Venugopal K Varma
- Vivek Sujan
- Ying Yang

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.

Currently available cast Al alloys are not suitable for various high-performance conductor applications, such as rotor, inverter, windings, busbar, heat exchangers/sinks, etc.

The invented alloys are a new family of Al-Mg alloys. This new family of Al-based alloys demonstrate an excellent ductility (10 ± 2 % elongation) despite the high content of impurities commonly observed in recycled aluminum.

No readily available public data exists for vehicle class and weight information that covers the entire U.S. highway network. The Travel Monitoring Analysis System, managed by the Federal Highway Administration covers only less than 1% of the US highway network.

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.

Pairing hybrid neural network modeling techniques with artificial intelligence, or AI, controls has resulted in a unique hybrid system that creates a smart solution for traffic-signal timing.

A high-strength, heat-resistant Al-Ce-Ni alloy optimized for additive manufacturing in industrial applications.

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