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Researcher
- Peeyush Nandwana
- Ying Yang
- Amit Shyam
- Ryan Dehoff
- Alex Plotkowski
- Alice Perrin
- Blane Fillingim
- Brian Post
- Costas Tsouris
- Lauren Heinrich
- Rangasayee Kannan
- Steven J Zinkle
- Sudarsanam Babu
- Thomas Feldhausen
- Vincent Paquit
- Yanli Wang
- Yousub Lee
- Yutai Kato
- Akash Jag Prasad
- Andres Marquez Rossy
- Bruce A Pint
- Bryan Lim
- Calen Kimmell
- Canhai Lai
- Christopher Fancher
- Christopher Ledford
- Chris Tyler
- Clay Leach
- David S Parker
- Gerry Knapp
- Gordon Robertson
- Gs Jung
- Gyoung Gug Jang
- James A Haynes
- James Haley
- James Parks II
- Jaydeep Karandikar
- Jay Reynolds
- Jeff Brookins
- Jong K Keum
- Michael Kirka
- Mina Yoon
- Nicholas Richter
- Patxi Fernandez-Zelaia
- Peter Wang
- Radu Custelcean
- Sumit Bahl
- Sunyong Kwon
- Tim Graening Seibert
- Tomas Grejtak
- Vladimir Orlyanchik
- Weicheng Zhong
- Wei Tang
- Xiang Chen
- Yan-Ru Lin
- Yiyu Wang
- Zackary Snow

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.

System and method for part porosity monitoring of additively manufactured components using machining
In additive manufacturing, choice of process parameters for a given material and geometry can result in porosities in the build volume, which can result in scrap.

V-Cr-Ti alloys have been proposed as candidate structural materials in fusion reactor blanket concepts with operation temperatures greater than that for reduced activation ferritic martensitic steels (RAFMs).

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.

Sensing of additive manufacturing processes promises to facilitate detailed quality inspection at scales that have seldom been seen in traditional manufacturing processes.

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.

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

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.