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
- Ryan Dehoff
- Alex Plotkowski
- Amit Shyam
- Alice Perrin
- Andrzej Nycz
- Chris Masuo
- James A Haynes
- Luke Meyer
- Michael Kirka
- Sumit Bahl
- Vincent Paquit
- William Carter
- Ying Yang
- Adam Stevens
- Ahmed Hassen
- Alex Walters
- Amir K Ziabari
- Andres Marquez Rossy
- Blane Fillingim
- Brian Post
- Christopher Ledford
- Clay Leach
- David Nuttall
- Gerry Knapp
- James Haley
- Joshua Vaughan
- Jovid Rakhmonov
- Nicholas Richter
- Patxi Fernandez-Zelaia
- Peeyush Nandwana
- Peter Wang
- Philip Bingham
- Rangasayee Kannan
- Roger G Miller
- Sarah Graham
- Singanallur Venkatakrishnan
- Sudarsanam Babu
- Sunyong Kwon
- Vipin Kumar
- Vlastimil Kunc
- William Peter
- Yan-Ru Lin
- Yukinori Yamamoto

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.

High strength, oxidation resistant refractory alloys are difficult to fabricate for commercial use in extreme environments.

In manufacturing parts for industry using traditional molds and dies, about 70 percent to 80 percent of the time it takes to create a part is a result of a relatively slow cooling process.

This technology combines 3D printing and compression molding to produce high-strength, low-porosity composite articles.

Simurgh revolutionizes industrial CT imaging with AI, enhancing speed and accuracy in nondestructive testing for complex parts, reducing costs.

An innovative low-cost system for in-situ monitoring of strain and temperature during directed energy deposition.