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
- Ahmed Hassen
- Vlastimil Kunc
- Andrzej Nycz
- Steven Guzorek
- Brian Post
- Chris Masuo
- Ryan Dehoff
- Vincent Paquit
- Peter Wang
- Vipin Kumar
- Adam Stevens
- Alex Walters
- Amit K Naskar
- David Nuttall
- Michael Kirka
- Rangasayee Kannan
- Soydan Ozcan
- Venkatakrishnan Singanallur Vaidyanathan
- Alex Roschli
- Amir K Ziabari
- Brian Gibson
- Clay Leach
- Dan Coughlin
- Jaswinder Sharma
- Jim Tobin
- Joshua Vaughan
- Logan Kearney
- Luke Meyer
- Michael Toomey
- Nihal Kanbargi
- Peeyush Nandwana
- Philip Bingham
- Pum Kim
- Segun Isaac Talabi
- Sudarsanam Babu
- Tyler Smith
- Udaya C Kalluri
- Uday Vaidya
- Umesh N MARATHE
- William Carter
- Akash Jag Prasad
- Alice Perrin
- Amit Shyam
- Arit Das
- Benjamin L Doughty
- Brittany Rodriguez
- Calen Kimmell
- Cameron Adkins
- Canhai Lai
- Chelo Chavez
- Christopher Bowland
- Christopher Fancher
- Christopher Ledford
- Chris Tyler
- Costas Tsouris
- Craig Blue
- Diana E Hun
- Edgar Lara-Curzio
- Erin Webb
- Evin Carter
- Felix L Paulauskas
- Frederic Vautard
- Georges Chahine
- Gina Accawi
- Gordon Robertson
- Gurneesh Jatana
- Halil Tekinalp
- Holly Humphrey
- Isha Bhandari
- J.R. R Matheson
- James Haley
- James Parks II
- Jaydeep Karandikar
- Jay Reynolds
- Jeff Brookins
- Jeremy Malmstead
- Jesse Heineman
- John Lindahl
- John Potter
- Josh Crabtree
- Julian Charron
- Katie Copenhaver
- Kim Sitzlar
- Kitty K Mccracken
- Komal Chawla
- Liam White
- Mark M Root
- Merlin Theodore
- Michael Borish
- Nadim Hmeidat
- Obaid Rahman
- Oluwafemi Oyedeji
- Patxi Fernandez-Zelaia
- Philip Boudreaux
- Riley Wallace
- Ritin Mathews
- Robert E Norris Jr
- Roger G Miller
- Ryan Ogle
- Sana Elyas
- Santanu Roy
- Sarah Graham
- Steve Bullock
- Subhabrata Saha
- Sumit Gupta
- Thomas Feldhausen
- Uvinduni Premadasa
- Vera Bocharova
- Vladimir Orlyanchik
- William Peter
- Xianhui Zhao
- Xiaohan Yang
- Yan-Ru Lin
- Ying Yang
- Yukinori Yamamoto
- Zackary Snow

ORNL researchers have developed a deep learning-based approach to rapidly perform high-quality reconstructions from sparse X-ray computed tomography measurements.

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.

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.

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.

Through utilizing a two function splice we can increase the splice strength for opposing tows.
Contact:
To learn more about this technology, email partnerships@ornl.gov or call 865-574-1051.

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.