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
- Ryan Dehoff
- Vlastimil Kunc
- Ahmed Hassen
- Michael Kirka
- Vincent Paquit
- Vipin Kumar
- Adam Stevens
- Alex Plotkowski
- Alice Perrin
- Amir K Ziabari
- Amit Shyam
- Andres Marquez Rossy
- Blane Fillingim
- Brian Post
- Christopher Ledford
- Clay Leach
- Dan Coughlin
- David Nuttall
- James Haley
- Jim Tobin
- Josh Crabtree
- Kim Sitzlar
- Merlin Theodore
- Nithin Panicker
- Patxi Fernandez-Zelaia
- Peeyush Nandwana
- Philip Bingham
- Prashant Jain
- Rangasayee Kannan
- Roger G Miller
- Sarah Graham
- Steven Guzorek
- Subhabrata Saha
- Sudarsanam Babu
- Venkatakrishnan Singanallur Vaidyanathan
- Vittorio Badalassi
- William Peter
- Yan-Ru Lin
- Ying Yang
- Yukinori Yamamoto

Recent advances in magnetic fusion (tokamak) technology have attracted billions of dollars of investments in startups from venture capitals and corporations to develop devices demonstrating net energy gain in a self-heated burning plasma, such as SPARC (under construction) and

Through the use of splicing methods, joining two different fiber types in the tow stage of the process enables great benefits to the strength of the material change.

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.