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
- Soydan Ozcan
- Meghan Lamm
- Umesh N MARATHE
- Halil Tekinalp
- Vlastimil Kunc
- Ahmed Hassen
- Katie Copenhaver
- Singanallur Venkatakrishnan
- Steven Guzorek
- Uday Vaidya
- Alex Roschli
- Amir K Ziabari
- Beth L Armstrong
- Dan Coughlin
- Diana E Hun
- Georges Chahine
- Matt Korey
- Philip Bingham
- Philip Boudreaux
- Pum Kim
- Ryan Dehoff
- Stephen M Killough
- Vincent Paquit
- Vipin Kumar
- Adwoa Owusu
- Akash Phadatare
- Amber Hubbard
- Ben Lamm
- Brian Post
- Bryan Maldonado Puente
- Cait Clarkson
- Corey Cooke
- David Nuttall
- Erin Webb
- Evin Carter
- Gabriel Veith
- Gina Accawi
- Gurneesh Jatana
- Jeremy Malmstead
- Jesse Heineman
- Jim Tobin
- Josh Crabtree
- Khryslyn G Araño
- Kim Sitzlar
- Kitty K Mccracken
- Mark M Root
- Marm Dixit
- Michael Kirka
- Nadim Hmeidat
- Nolan Hayes
- Obaid Rahman
- Oluwafemi Oyedeji
- Paritosh Mhatre
- Peter Wang
- Ryan Kerekes
- Sally Ghanem
- Sana Elyas
- Sanjita Wasti
- Segun Isaac Talabi
- Shajjad Chowdhury
- Steve Bullock
- Tolga Aytug
- Tyler Smith
- Xianhui Zhao

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

Wind turbine blades face a harsh environment in which erosion of the leading edge is a major factor for in-use maintenance. Current industrial practices to address this leading edge erosion are replacement of reinforcing materials upon significant damage infliction.

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

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.

We proposed and developed a carbon nanofiber (CNF) suspension-based sizing agent, that resulted in improved interfacial, and mechanical properties. The CNF dispersed sizing agent can be applied in a relatively simpler way (by passing the continuous tow through it).

The technologies polymer cellulose nanocomposite mats and process for making same.
Contact
To learn more about this technology, email partnerships@ornl.gov or call 865-574-1051.

The use of biomass fiber reinforcement for polymer composite applications, like those in buildings or automotive, has expanded rapidly due to the low cost, high stiffness, and inherent renewability of these materials. Biomass are commonly disposed of as waste.

New demands in electric vehicles have resulted in design changes for the power electronic components such as the capacitor to incur lower volume, higher operating temperatures, and dielectric properties (high dielectric permittivity and high electrical breakdown strengths).

Fiberglass, semi-structural insulation for recycled glass fiber and using a low cost silicon with pultruded rods, either fiberglass and a low cost resin, polyester for pultruded rods. It will reduce the use of wood, which is flammable, and still be structural.

Through the use of splicing methods, joining two different fiber types in the tow stage of the process enables great benefits to the strength of the material change.