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
- Costas Tsouris
- Steven Guzorek
- Andrew Sutton
- Michelle Kidder
- Radu Custelcean
- Vipin Kumar
- Brian Post
- David Nuttall
- Gyoung Gug Jang
- Singanallur Venkatakrishnan
- Soydan Ozcan
- Alexander I Wiechert
- Amir K Ziabari
- Dan Coughlin
- Diana E Hun
- Gs Jung
- Jim Tobin
- Michael Cordon
- Philip Bingham
- Philip Boudreaux
- Pum Kim
- Ryan Dehoff
- Segun Isaac Talabi
- Stephen M Killough
- Tyler Smith
- Uday Vaidya
- Umesh N MARATHE
- Vincent Paquit
- Adam Stevens
- Ajibola Lawal
- Alex Roschli
- Benjamin Manard
- Brittany Rodriguez
- Bryan Maldonado Puente
- Canhai Lai
- Charles F Weber
- Corey Cooke
- Craig Blue
- Dhruba Deka
- Erin Webb
- Evin Carter
- Georges Chahine
- Gina Accawi
- Gurneesh Jatana
- Halil Tekinalp
- James Parks II
- Jeffrey Einkauf
- Jeremy Malmstead
- Joanna Mcfarlane
- John Lindahl
- Jonathan Willocks
- Jong K Keum
- Josh Crabtree
- Julian Charron
- Katie Copenhaver
- Kim Sitzlar
- Kitty K Mccracken
- Komal Chawla
- Mark M Root
- Matt Vick
- Melanie Moses-DeBusk Debusk
- Merlin Theodore
- Michael Kirka
- Mina Yoon
- Nadim Hmeidat
- Nolan Hayes
- Obaid Rahman
- Oluwafemi Oyedeji
- Peter Wang
- Ryan Kerekes
- Ryan Ogle
- Sally Ghanem
- Sana Elyas
- Sreshtha Sinha Majumdar
- Steve Bullock
- Subhabrata Saha
- Sudarsanam Babu
- Thomas Feldhausen
- Vandana Rallabandi
- Xianhui Zhao
- Yeonshil Park

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

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.

The technologies provides for regeneration of anion-exchange resin.
Contact
To learn more about this technology, email partnerships@ornl.gov or call 865-574-1051.

Monoterpenes conversion to C10 aromatics (60%) and C10 cycloalkanes (40%) in an inert environment, provides an established route for sustainable aviation fuel (SAF) blends sourced directly from biomass captured terpenes mixtures.

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.

Among the methods for point source carbon capture, the absorption of CO2 using aqueous amines (namely MEA) from the post-combustion gas stream is currently considered the most promising.