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
- Amit Shyam
- Alex Plotkowski
- Srikanth Yoginath
- James A Haynes
- James J Nutaro
- Peeyush Nandwana
- Pratishtha Shukla
- Rangasayee Kannan
- Ryan Dehoff
- Sudip Seal
- Sumit Bahl
- Adam Stevens
- Alexander I Wiechert
- Alice Perrin
- Ali Passian
- Andres Marquez Rossy
- Benjamin Manard
- Brian Post
- Bryan Lim
- Charles F Weber
- Christopher Fancher
- Costas Tsouris
- Dean T Pierce
- Gerry Knapp
- Gordon Robertson
- Govindarajan Muralidharan
- Harper Jordan
- Isaac Sikkema
- Jay Reynolds
- Jeff Brookins
- Joanna Mcfarlane
- Joel Asiamah
- Joel Dawson
- Jonathan Willocks
- Joseph Olatt
- Jovid Rakhmonov
- Kunal Mondal
- Mahim Mathur
- Matt Vick
- Mingyan Li
- Nance Ericson
- Nicholas Richter
- Oscar Martinez
- Pablo Moriano Salazar
- Peter Wang
- Roger G Miller
- Rose Montgomery
- Sam Hollifield
- Sarah Graham
- Sudarsanam Babu
- Sunyong Kwon
- Thomas R Muth
- Tomas Grejtak
- Vandana Rallabandi
- Varisara Tansakul
- Venugopal K Varma
- William Peter
- Ying Yang
- Yiyu Wang
- Yukinori Yamamoto

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.

The lack of real-time insights into how materials evolve during laser powder bed fusion has limited the adoption by inhibiting part qualification. The developed approach provides key data needed to fabricate born qualified parts.

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.

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.