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
- Andrzej Nycz
- Amit Shyam
- Beth L Armstrong
- Chris Masuo
- Peeyush Nandwana
- Peter Wang
- Alex Plotkowski
- Alex Walters
- Brian Post
- Jun Qu
- Rangasayee Kannan
- Sudarsanam Babu
- Yong Chae Lim
- Blane Fillingim
- Brian Gibson
- Corson Cramer
- James A Haynes
- Joshua Vaughan
- Lauren Heinrich
- Luke Meyer
- Meghan Lamm
- Ryan Dehoff
- Steve Bullock
- Sumit Bahl
- Thomas Feldhausen
- Tomas Grejtak
- Udaya C Kalluri
- William Carter
- Ying Yang
- Yousub Lee
- Adam Stevens
- Akash Jag Prasad
- Alexander I Wiechert
- Alice Perrin
- Andres Marquez Rossy
- Benjamin Manard
- Ben Lamm
- Bruce A Pint
- Bryan Lim
- Calen Kimmell
- Charles F Weber
- Chelo Chavez
- Christopher Fancher
- Christopher Ledford
- Chris Tyler
- Clay Leach
- Costas Tsouris
- David J Mitchell
- Dean T Pierce
- Ethan Self
- Gabriel Veith
- Gerry Knapp
- Glenn R Romanoski
- Gordon Robertson
- Govindarajan Muralidharan
- Isaac Sikkema
- J.R. R Matheson
- James Klett
- Jaydeep Karandikar
- Jay Reynolds
- Jeff Brookins
- Jesse Heineman
- Jiheon Jun
- Joanna Mcfarlane
- John Potter
- Jonathan Willocks
- Jordan Wright
- Joseph Olatt
- Jovid Rakhmonov
- Khryslyn G Araño
- Kunal Mondal
- Mahim Mathur
- Marm Dixit
- Matthew S Chambers
- Matt Vick
- Michael Kirka
- Mingyan Li
- Nancy Dudney
- Nicholas Richter
- Oscar Martinez
- Priyanshi Agrawal
- Riley Wallace
- Ritin Mathews
- Roger G Miller
- Rose Montgomery
- Sam Hollifield
- Sarah Graham
- Sergiy Kalnaus
- Shajjad Chowdhury
- Steven J Zinkle
- Sunyong Kwon
- Thomas R Muth
- Tim Graening Seibert
- Tolga Aytug
- Trevor Aguirre
- Vandana Rallabandi
- Venugopal K Varma
- Vincent Paquit
- Vladimir Orlyanchik
- Weicheng Zhong
- Wei Tang
- William Peter
- Xiang Chen
- Xiaohan Yang
- Yanli Wang
- Yiyu Wang
- Yukinori Yamamoto
- Yutai Kato
- Zhili Feng

High-gradient magnetic filtration (HGMF) is a non-destructive separation technique that captures magnetic constituents from a matrix containing other non-magnetic species. One characteristic that actinide metals share across much of the group is that they are magnetic.

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.

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.

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.

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.