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
- Peeyush Nandwana
- Amit Shyam
- Anees Alnajjar
- Blane Fillingim
- Brian Post
- Lauren Heinrich
- Rangasayee Kannan
- Sudarsanam Babu
- Thomas Feldhausen
- Vlastimil Kunc
- Yousub Lee
- Ahmed Hassen
- Alex Plotkowski
- Andres Marquez Rossy
- Bruce A Pint
- Bryan Lim
- Christopher Fancher
- Craig A Bridges
- Dan Coughlin
- Gordon Robertson
- Jay Reynolds
- Jeff Brookins
- Jim Tobin
- Josh Crabtree
- Kim Sitzlar
- Mariam Kiran
- Merlin Theodore
- Nageswara Rao
- Peter Wang
- Ryan Dehoff
- Sheng Dai
- Steven Guzorek
- Steven J Zinkle
- Subhabrata Saha
- Tim Graening Seibert
- Tomas Grejtak
- Vipin Kumar
- Weicheng Zhong
- Wei Tang
- Xiang Chen
- Yanli Wang
- Ying Yang
- Yiyu Wang
- Yutai Kato

Here we present a solution for practically demonstrating path-aware routing and visualizing a self-driving network.

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.

Electrochemistry synthesis and characterization testing typically occurs manually at a research facility.

This work seeks to alter the interface condition through thermal history modification, deposition energy density, and interface surface preparation to prevent interface cracking.

Additive manufacturing (AM) enables the incremental buildup of monolithic components with a variety of materials, and material deposition locations.

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.

The first wall and blanket of a fusion energy reactor must maintain structural integrity and performance over long operational periods under neutron irradiation and minimize long-lived radioactive waste.