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Researcher
- Andrzej Nycz
- Chris Masuo
- Peter Wang
- Ying Yang
- Alex Walters
- Venugopal K Varma
- Alice Perrin
- Amit Shyam
- Brian Gibson
- Joshua Vaughan
- Luke Meyer
- Mahabir Bhandari
- Steven J Zinkle
- Udaya C Kalluri
- William Carter
- Yanli Wang
- Yutai Kato
- Adam Aaron
- Akash Jag Prasad
- Alex Plotkowski
- Bruce A Pint
- Calen Kimmell
- Charles D Ottinger
- Chelo Chavez
- Christopher Fancher
- Christopher Ledford
- Chris Tyler
- Clay Leach
- Costas Tsouris
- David S Parker
- Gerry Knapp
- Gordon Robertson
- Govindarajan Muralidharan
- Gs Jung
- Gyoung Gug Jang
- J.R. R Matheson
- James A Haynes
- Jaydeep Karandikar
- Jay Reynolds
- Jeff Brookins
- Jesse Heineman
- John Potter
- Jong K Keum
- Michael Kirka
- Mina Yoon
- Nicholas Richter
- Patxi Fernandez-Zelaia
- Radu Custelcean
- Riley Wallace
- Ritin Mathews
- Rose Montgomery
- Ryan Dehoff
- Sergey Smolentsev
- Sumit Bahl
- Sunyong Kwon
- Thomas R Muth
- Tim Graening Seibert
- Vincent Paquit
- Vladimir Orlyanchik
- Weicheng Zhong
- Wei Tang
- Xiang Chen
- Xiaohan Yang
- Yan-Ru Lin

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.

We present the design, assembly and demonstration of functionality for a new custom integrated robotics-based automated soil sampling technology as part of a larger vision for future edge computing- and AI- enabled bioenergy field monitoring and management technologies called

Creating a framework (method) for bots (agents) to autonomously, in real time, dynamically divide and execute a complex manufacturing (or any suitable) task in a collaborative, parallel-sequential way without required human interaction.

Materials produced via additive manufacturing, or 3D printing, can experience significant residual stress, distortion and cracking, negatively impacting the manufacturing process.

Fusion reactors need efficient systems to create tritium fuel and handle intense heat and radiation. Traditional liquid metal systems face challenges like high pressure losses and material breakdown in strong magnetic fields.

The traditional window installation process involves many steps. These are becoming even more complex with newer construction requirements such as installation of windows over exterior continuous insulation walls.

In additive printing that utilizes multiple robotic agents to build, each agent, or “arm”, is currently limited to a prescribed path determined by the user.