Filter Results
Related Organization
- Biological and Environmental Systems Science Directorate (26)
- Computing and Computational Sciences Directorate (38)
- Energy Science and Technology Directorate (223)
- Fusion and Fission Energy and Science Directorate (24)
- Information Technology Services Directorate (3)
- National Security Sciences Directorate (20)
- Neutron Sciences Directorate (11)
- Physical Sciences Directorate
(135)
- User Facilities (27)
- (-) Isotope Science and Enrichment Directorate (7)
Researcher
- Andrzej Nycz
- Amit Shyam
- Beth L Armstrong
- Chris Masuo
- Peeyush Nandwana
- Brian Post
- Peter Wang
- Alex Plotkowski
- Alex Walters
- Jun Qu
- Rangasayee Kannan
- Sudarsanam Babu
- Yong Chae Lim
- Blane Fillingim
- Brian Gibson
- Corson Cramer
- James A Haynes
- James Klett
- Joshua Vaughan
- Lauren Heinrich
- Luke Meyer
- Meghan Lamm
- Mike Zach
- Ryan Dehoff
- Steve Bullock
- Sumit Bahl
- Thomas Feldhausen
- Tomas Grejtak
- Udaya C Kalluri
- William Carter
- Ying Yang
- Yousub Lee
- Zhili Feng
- Adam Stevens
- Akash Jag Prasad
- Alice Perrin
- Andres Marquez Rossy
- Andrew F May
- Annetta Burger
- Ben Garrison
- Ben Lamm
- Brad Johnson
- Bruce A Pint
- Bruce Moyer
- Bryan Lim
- Calen Kimmell
- Carter Christopher
- Chance C Brown
- Charlie Cook
- Chelo Chavez
- Christopher Fancher
- Christopher Hershey
- Christopher Ledford
- Chris Tyler
- Clay Leach
- Craig Blue
- Daniel Rasmussen
- David J Mitchell
- Dean T Pierce
- Debjani Pal
- Debraj De
- Ethan Self
- Gabriel Veith
- Gautam Malviya Thakur
- Gerry Knapp
- Glenn R Romanoski
- Gordon Robertson
- Govindarajan Muralidharan
- Hsin Wang
- J.R. R Matheson
- James Gaboardi
- Jaydeep Karandikar
- Jay Reynolds
- Jeff Brookins
- Jeffrey Einkauf
- Jennifer M Pyles
- Jesse Heineman
- Jesse McGaha
- Jian Chen
- Jiheon Jun
- John Lindahl
- John Potter
- Jordan Wright
- Jovid Rakhmonov
- Justin Griswold
- Kevin Sparks
- Khryslyn G Araño
- Kuntal De
- Laetitia H Delmau
- Liz McBride
- Luke Sadergaski
- Marm Dixit
- Matthew S Chambers
- Michael Kirka
- Nancy Dudney
- Nedim Cinbiz
- Nicholas Richter
- Padhraic L Mulligan
- Priyanshi Agrawal
- Riley Wallace
- Ritin Mathews
- Roger G Miller
- Rose Montgomery
- Sandra Davern
- Sarah Graham
- Sergiy Kalnaus
- Shajjad Chowdhury
- Steven J Zinkle
- Sunyong Kwon
- Thomas R Muth
- Tim Graening Seibert
- Todd Thomas
- Tolga Aytug
- Tony Beard
- Trevor Aguirre
- Venugopal K Varma
- Vincent Paquit
- Vladimir Orlyanchik
- Weicheng Zhong
- Wei Tang
- Wei Zhang
- William Peter
- Xiang Chen
- Xiaohan Yang
- Xiuling Nie
- Yanli Wang
- Yiyu Wang
- Yukinori Yamamoto
- Yutai Kato

Often there are major challenges in developing diverse and complex human mobility metrics systematically and quickly.

A finite element approach integrated with a novel constitute model to predict phase change, residual stresses and part deformation.

Ruthenium is recovered from used nuclear fuel in an oxidizing environment by depositing the volatile RuO4 species onto a polymeric substrate.

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