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
- Brian Post
- Chris Tyler
- Diana E Hun
- Peter Wang
- Beth L Armstrong
- Justin West
- Peeyush Nandwana
- Philip Boudreaux
- Ritin Mathews
- Som Shrestha
- Amit Shyam
- Andrzej Nycz
- Blane Fillingim
- Chris Masuo
- Jun Qu
- Rangasayee Kannan
- Sudarsanam Babu
- Thomas Feldhausen
- Tomonori Saito
- Adam Stevens
- Ahmed Hassen
- Alex Plotkowski
- Bryan Maldonado Puente
- Corson Cramer
- David Olvera Trejo
- J.R. R Matheson
- James A Haynes
- Jaydeep Karandikar
- Joshua Vaughan
- Lauren Heinrich
- Mahabir Bhandari
- Meghan Lamm
- Michael Kirka
- Nolan Hayes
- Ryan Dehoff
- Scott Smith
- Singanallur Venkatakrishnan
- Steve Bullock
- Sumit Bahl
- Tomas Grejtak
- Venugopal K Varma
- William Carter
- Yousub Lee
- Zoriana Demchuk
- Achutha Tamraparni
- Adam Aaron
- Akash Jag Prasad
- Alex Roschli
- Alice Perrin
- Amir K Ziabari
- Amy Elliott
- Ben Lamm
- Brian Gibson
- Bryan Lim
- Calen Kimmell
- Cameron Adkins
- Catalin Gainaru
- Charles D Ottinger
- Christopher Fancher
- Christopher Ledford
- Craig Blue
- David J Mitchell
- Emma Betters
- Ethan Self
- Fred List III
- Gabriel Veith
- Gerry Knapp
- Gina Accawi
- Gordon Robertson
- Greg Corson
- Gurneesh Jatana
- Isha Bhandari
- James Klett
- Jay Reynolds
- Jeff Brookins
- Jesse Heineman
- John Lindahl
- John Potter
- Jordan Wright
- Josh B Harbin
- Jovid Rakhmonov
- Karen Cortes Guzman
- Keith Carver
- Khryslyn G Araño
- Kuma Sumathipala
- Liam White
- Luke Meyer
- Mark M Root
- Marm Dixit
- Matthew S Chambers
- Mengjia Tang
- Michael Borish
- Nancy Dudney
- Natasha Ghezawi
- Nicholas Richter
- Philip Bingham
- Richard Howard
- Roger G Miller
- Sarah Graham
- Sergiy Kalnaus
- Shajjad Chowdhury
- Shiwanka Vidarshi Wanasinghe Wanasinghe Mudiyanselage
- Stephen M Killough
- Steven Guzorek
- Sunyong Kwon
- Thomas Butcher
- Tolga Aytug
- Tony L Schmitz
- Trevor Aguirre
- Vincent Paquit
- Vladimir Orlyanchik
- Vlastimil Kunc
- William Peter
- Ying Yang
- Yiyu Wang
- Yukinori Yamamoto
- Zhenglai Shen

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.

A pressure burst feature has been designed and demonstrated for relieving potentially hazardous excess pressure within irradiation capsules used in the ORNL High Flux Isotope Reactor (HFIR).

We have been working to adapt background oriented schlieren (BOS) imaging to directly visualize building leakage, which is fast and easy.

This manufacturing method uses multifunctional materials distributed volumetrically to generate a stiffness-based architecture, where continuous surfaces can be created from flat, rapidly produced geometries.

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.

Distortion generated during additive manufacturing of metallic components affect the build as well as the baseplate geometries. These distortions are significant enough to disqualify components for functional purposes.

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.