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- Tomonori Saito
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- Natasha Ghezawi
- Philip Bingham
- Ramesh Bhave
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- Udaya C Kalluri
- Vera Bocharova
- Yousub Lee
- Zoriana Demchuk
- Achutha Tamraparni
- Akash Jag Prasad
- Alice Perrin
- Amit Shyam
- Amy Elliott
- Benjamin L Doughty
- Beth L Armstrong
- Calen Kimmell
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- Canhai Lai
- Chelo Chavez
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- Josh Michener
- Karen Cortes Guzman
- Keith Carver
- 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
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- Shiwanka Vidarshi Wanasinghe Wanasinghe Mudiyanselage
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- Uvinduni Premadasa
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- 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.

A pressure burst feature has been designed and demonstrated for relieving potentially hazardous excess pressure within irradiation capsules used in the ORNL High Flux Isotope Reactor (HFIR).

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.