Filter Results
Related Organization
- Biological and Environmental Systems Science Directorate (29)
- Computing and Computational Sciences Directorate (39)
- Energy Science and Technology Directorate (229)
- Fusion and Fission Energy and Science Directorate (24)
- Information Technology Services Directorate (3)
- Isotope Science and Enrichment Directorate (7)
- National Security Sciences Directorate (20)
- Neutron Sciences Directorate (11)
- Physical Sciences Directorate
(138)
- User Facilities (28)
Researcher
- Brian Post
- Amit Shyam
- Beth L Armstrong
- Peeyush Nandwana
- Peter Wang
- Andrzej Nycz
- Alex Plotkowski
- Amit K Naskar
- Blane Fillingim
- Chris Masuo
- Jun Qu
- Rangasayee Kannan
- Sudarsanam Babu
- Thomas Feldhausen
- Yong Chae Lim
- Zhili Feng
- Ahmed Hassen
- Corson Cramer
- J.R. R Matheson
- James A Haynes
- Jaswinder Sharma
- Jian Chen
- Joshua Vaughan
- Lauren Heinrich
- Logan Kearney
- Meghan Lamm
- Michael Toomey
- Nihal Kanbargi
- Ryan Dehoff
- Steve Bullock
- Sumit Bahl
- Tomas Grejtak
- Wei Zhang
- Ying Yang
- Yousub Lee
- Adam Stevens
- Alex Roschli
- Alice Perrin
- Andres Marquez Rossy
- Arit Das
- Benjamin L Doughty
- Ben Lamm
- Brian Gibson
- Bruce A Pint
- Bryan Lim
- Cameron Adkins
- Christopher Bowland
- Christopher Fancher
- Christopher Ledford
- Chris Tyler
- Craig Blue
- Dali Wang
- David J Mitchell
- David Olvera Trejo
- Dean T Pierce
- Edgar Lara-Curzio
- Ethan Self
- Felix L Paulauskas
- Frederic Vautard
- Gabriel Veith
- Gerry Knapp
- Glenn R Romanoski
- Gordon Robertson
- Govindarajan Muralidharan
- Holly Humphrey
- Isha Bhandari
- James Klett
- Jay Reynolds
- Jeff Brookins
- Jesse Heineman
- Jiheon Jun
- John Lindahl
- John Potter
- Jordan Wright
- Jovid Rakhmonov
- Khryslyn G Araño
- Liam White
- Luke Meyer
- Marm Dixit
- Matthew S Chambers
- Michael Borish
- Michael Kirka
- Nancy Dudney
- Nicholas Richter
- Priyanshi Agrawal
- Ritin Mathews
- Robert E Norris Jr
- Roger G Miller
- Rose Montgomery
- Santanu Roy
- Sarah Graham
- Scott Smith
- Sergiy Kalnaus
- Shajjad Chowdhury
- Steven Guzorek
- Steven J Zinkle
- Sumit Gupta
- Sunyong Kwon
- Thomas R Muth
- Tim Graening Seibert
- Tolga Aytug
- Trevor Aguirre
- Uvinduni Premadasa
- Venugopal K Varma
- Vera Bocharova
- Vlastimil Kunc
- Weicheng Zhong
- Wei Tang
- William Carter
- William Peter
- Xiang Chen
- Yanli Wang
- Yiyu Wang
- Yukinori Yamamoto
- Yutai Kato

Efficient thermal management in polymers is essential for developing lightweight, high-strength materials with multifunctional capabilities.

The disclosure is directed to optimized fiber geometries for use in carbon fiber reinforced polymers with increased compressive strength per unit cost. The disclosed fiber geometries reduce the material processing costs as well as increase the compressive strength.

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

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.

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.

A novel and cost-effective process for the activation of carbon fibers was established.
Contact
To learn more about this technology, email partnerships@ornl.gov or call 865-574-1051.

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.

This invention is directed to a machine leaning methodology to quantify the association of a set of input variables to a set of output variables, specifically for the one-to-many scenarios in which the output exhibits a range of variations under the same replicated input condi