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
- Tomonori Saito
- Brian Post
- Andrzej Nycz
- Chris Masuo
- Peter Wang
- Ryan Dehoff
- Vincent Paquit
- Anisur Rahman
- Diana E Hun
- Jeff Foster
- Peeyush Nandwana
- Alex Walters
- Blane Fillingim
- Joshua Vaughan
- Luke Meyer
- Mary Danielson
- Michael Kirka
- Rangasayee Kannan
- Singanallur Venkatakrishnan
- Sudarsanam Babu
- Syed Islam
- Thomas Feldhausen
- William Carter
- Adam Stevens
- Ahmed Hassen
- Alexei P Sokolov
- Alex Roschli
- Amir K Ziabari
- Brian Gibson
- Catalin Gainaru
- Chris Tyler
- Clay Leach
- J.R. R Matheson
- Lauren Heinrich
- Michelle Lehmann
- Natasha Ghezawi
- Philip Bingham
- Ramesh Bhave
- Udaya C Kalluri
- Vera Bocharova
- Yousub Lee
- Zoriana Demchuk
- Achutha Tamraparni
- Akash Jag Prasad
- Alice Perrin
- Amit Shyam
- Benjamin L Doughty
- Calen Kimmell
- Cameron Adkins
- Canhai Lai
- Chelo Chavez
- Christopher Fancher
- Christopher Ledford
- Corson Cramer
- Costas Tsouris
- Craig Blue
- David Olvera Trejo
- Erin Webb
- Evin Carter
- Gina Accawi
- Gordon Robertson
- Gurneesh Jatana
- Isaiah Dishner
- Isha Bhandari
- James Haley
- James Parks II
- Jaydeep Karandikar
- Jay Reynolds
- Jeff Brookins
- Jeremy Malmstead
- Jesse Heineman
- John Lindahl
- John Potter
- Josh Michener
- Karen Cortes Guzman
- Kitty K Mccracken
- Kuma Sumathipala
- Liam White
- Liangyu Qian
- Mark M Root
- Mengjia Tang
- Michael Borish
- Nick Galan
- Nick Gregorich
- Obaid Rahman
- Oluwafemi Oyedeji
- Patxi Fernandez-Zelaia
- Philip Boudreaux
- Riley Wallace
- Ritin Mathews
- Robert Sacci
- Roger G Miller
- Santanu Roy
- Sarah Graham
- Scott Smith
- Shailesh Dangwal
- Shannon M Mahurin
- Shiwanka Vidarshi Wanasinghe Wanasinghe Mudiyanselage
- Som Shrestha
- Soydan Ozcan
- Steven Guzorek
- Tao Hong
- Tyler Smith
- Uvinduni Premadasa
- Vladimir Orlyanchik
- Vlastimil Kunc
- 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.

This invention utilizes a custom-synthesized vinyl trifluoromethanesulfonimide (VTFSI) salt and an alcohol containing small molecule or polymer for the synthesis of novel single-ion conducting polymer electrolytes for the use in Li-ion and beyond Li-ion batteries, fuel cells,

PET is used in many commercial products, but only a fraction is mechanically recycled, and even less is chemically recycled.

Developed a novel energy efficient, cost-effective, environmentally friendly process for separation of lithium from end-of-life lithium-ion batteries.

This work presents a novel method for upcycling polyethylene terephthalate (PET) waste into sustainable vitrimer materials. By combining bio-based crosslinkers with our PET-based macromonomer, we developed dynamically bonded plastics that are renewably sourced.

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.

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.